=======================================================================================================
Solid and Liquid in Ultra Small Coexistence with Hovering Interfaces (SLUSCHI)
Developed and maintained by Qi-Jun Hong, with early research support from Axel van de Walle (2014-2020)
=======================================================================================================
Generating solid with radius = 11
*** Generate a supercell from the current unitcell ***
The supercell is:
5.3325304300000003 7.5413357399999992 6.1574740000000006
2.6662681999999998 -7.5413357399999992 7.6968455000000002
9.7763100999999999 -2.5137785799999999 -4.6181084999999999
|a|,|b|,|c|,theta(bc),theta(ac),theta(ab):
11.101 11.101 11.101 85.588 87.796 87.796
In UNIT-cell, number of atoms: 1 1 total: 2
Inverse Matrix is:
3.9778710118860902E-002 1.4206690886839499E-002 7.6716057696064197E-002
6.4292140005095921E-002 -6.2282981906894963E-002 -1.8082145218313500E-002
4.9213395720958224E-002 6.3977414437245694E-002 -4.4292056148862405E-002
In SUPER-cell, number of atoms: 66 66 total: 132
POSCAR_STRCT atoms = 132
Accepted radius = 11 with 132 atoms
====================================================================================================
/data/qhong7/qhong7/sluschi_auto/6de5c346-e59f-4583-95a1-eb6835091a28/SiC/Dir_lammps
['Si', 'C']
elements: ['Si', 'C']
counts: [66, 66]
Original Tm = 1000.0
New temp = 500
New temp_end = 2000
500, 2000, 1
Adaptive temp step = 500
500
Start running job (temp, id) 500 1000 ...
DeepMD environment loaded
CONDA_PREFIX=/home/qhong7/anaconda3/envs/deepmd_lmp_gpu
LD_LIBRARY_PATH=/data/qhong7/qhong7/lammps/lammps-deepmd-plugin/build:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/deepmd/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/torch/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/tensorflow:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cusparse/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cusolver/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/curand/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/nvjitlink/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cufft/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cuda_cupti/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cuda_runtime/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/nccl/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/nvtx/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cuda_nvrtc/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cufile/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cudnn/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cublas/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/nvshmem/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cusparselt/lib:/home/qhong7/data/lammps/lammps-mace/build:/home/qhong7/anaconda3/envs/keras2_fixed/lib:/packages/apps/nvhpc/26.3-cuda-13.1/Linux_x86_64/26.3/cuda/13.1/lib64
Using closest available scale or default: 1.0
==============================
Iteration 1
Current scale = 1.0
Pressure = 10985.055140
New scale = 1.01
==============================
Iteration 2
Current scale = 1.01
Pressure = -43070.276400
Step reduced to 0.005
New scale = 1.0050000000000001
==============================
Iteration 3
Current scale = 1.0050000000000001
Pressure = -16818.985700
New scale = 1.0000000000000002
==============================
Iteration 4
Current scale = 1.0000000000000002
Pressure = 10985.075430
Step reduced to 0.0025
New scale = 1.0025000000000002
==============================
Iteration 5
Current scale = 1.0025000000000002
Pressure = -3319.931268
Converged!
Now running full trajectory...
Completed!
==============================
1000
Start running job (temp, id) 1000 1000 ...
DeepMD environment loaded
CONDA_PREFIX=/home/qhong7/anaconda3/envs/deepmd_lmp_gpu
LD_LIBRARY_PATH=/data/qhong7/qhong7/lammps/lammps-deepmd-plugin/build:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/deepmd/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/torch/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/tensorflow:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cusparse/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cusolver/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/curand/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/nvjitlink/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cufft/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cuda_cupti/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cuda_runtime/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/nccl/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/nvtx/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cuda_nvrtc/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cufile/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cudnn/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cublas/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/nvshmem/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cusparselt/lib:/home/qhong7/data/lammps/lammps-mace/build:/home/qhong7/anaconda3/envs/keras2_fixed/lib:/packages/apps/nvhpc/26.3-cuda-13.1/Linux_x86_64/26.3/cuda/13.1/lib64
Using closest available scale or default: 1.0025000000000002
==============================
Iteration 1
Current scale = 1.0025000000000002
Pressure = 16665.061600
New scale = 1.0125000000000002
==============================
Iteration 2
Current scale = 1.0125000000000002
Pressure = -37987.561500
Step reduced to 0.005
New scale = 1.0075000000000003
==============================
Iteration 3
Current scale = 1.0075000000000003
Pressure = -11409.477770
New scale = 1.0025000000000004
==============================
Iteration 4
Current scale = 1.0025000000000004
Pressure = 16665.096400
Step reduced to 0.0025
New scale = 1.0050000000000003
==============================
Iteration 5
Current scale = 1.0050000000000003
Pressure = 1842.826793
Converged!
Now running full trajectory...
Completed!
==============================
1500
Start running job (temp, id) 1500 1000 ...
DeepMD environment loaded
CONDA_PREFIX=/home/qhong7/anaconda3/envs/deepmd_lmp_gpu
LD_LIBRARY_PATH=/data/qhong7/qhong7/lammps/lammps-deepmd-plugin/build:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/deepmd/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/torch/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/tensorflow:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cusparse/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cusolver/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/curand/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/nvjitlink/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cufft/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cuda_cupti/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cuda_runtime/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/nccl/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/nvtx/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cuda_nvrtc/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cufile/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cudnn/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cublas/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/nvshmem/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cusparselt/lib:/home/qhong7/data/lammps/lammps-mace/build:/home/qhong7/anaconda3/envs/keras2_fixed/lib:/packages/apps/nvhpc/26.3-cuda-13.1/Linux_x86_64/26.3/cuda/13.1/lib64
Using closest available scale or default: 1.0050000000000003
==============================
Iteration 1
Current scale = 1.0050000000000003
Pressure = 26327.392500
New scale = 1.0150000000000003
==============================
Iteration 2
Current scale = 1.0150000000000003
Pressure = -29676.623900
Step reduced to 0.005
New scale = 1.0100000000000005
==============================
Iteration 3
Current scale = 1.0100000000000005
Pressure = -3668.238518
Converged!
Now running full trajectory...
Completed!
==============================
2000
Start running job (temp, id) 2000 1000 ...
DeepMD environment loaded
CONDA_PREFIX=/home/qhong7/anaconda3/envs/deepmd_lmp_gpu
LD_LIBRARY_PATH=/data/qhong7/qhong7/lammps/lammps-deepmd-plugin/build:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/deepmd/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/torch/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/tensorflow:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cusparse/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cusolver/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/curand/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/nvjitlink/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cufft/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cuda_cupti/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cuda_runtime/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/nccl/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/nvtx/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cuda_nvrtc/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cufile/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cudnn/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cublas/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/nvshmem/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cusparselt/lib:/home/qhong7/data/lammps/lammps-mace/build:/home/qhong7/anaconda3/envs/keras2_fixed/lib:/packages/apps/nvhpc/26.3-cuda-13.1/Linux_x86_64/26.3/cuda/13.1/lib64
Using closest available scale or default: 1.0100000000000005
==============================
Iteration 1
Current scale = 1.0100000000000005
Pressure = 16455.646510
New scale = 1.0200000000000005
==============================
Iteration 2
Current scale = 1.0200000000000005
Pressure = -38428.230800
Step reduced to 0.005
New scale = 1.0150000000000006
==============================
Iteration 3
Current scale = 1.0150000000000006
Pressure = -11566.127580
New scale = 1.0100000000000007
==============================
Iteration 4
Current scale = 1.0100000000000007
Pressure = 13688.964240
Step reduced to 0.0025
New scale = 1.0125000000000006
==============================
Iteration 5
Current scale = 1.0125000000000006
Pressure = 3428.924858
Converged!
Now running full trajectory...
Completed!
==============================
500, 500, 1
Adaptive temp step = 100
500
Wrote /data/qhong7/qhong7/sluschi_auto/6de5c346-e59f-4583-95a1-eb6835091a28/SiC/Dir_lammps/summary.csv
Wrote /data/qhong7/qhong7/sluschi_auto/6de5c346-e59f-4583-95a1-eb6835091a28/SiC/Dir_lammps/summary.out
Collected 4 folders
Wrote phase_pred.csv
Label counts:
solid = 4
liquid = 0
Wrote jobs_results.out
---------------------------------------------
Temp | Solid | Liquid | Total
---------------------------------------------
500 | 1 | 0 | 1
1000 | 1 | 0 | 1
1500 | 1 | 0 | 1
2000 | 1 | 0 | 1
---------------------------------------------
====================================
Melting Point Fit (MPFit)
====================================
Tm = 2044.93 K
Uncertainty = 6627.49 K
====================================
jobs_to_run.out Jobs completed
=== running MPFit ===
Melting temperature and std error: 2044.9288524999999 6632.3095034532362
500 1 0 1
1000 1 0 1
1500 1 0 1
2000 1 0 1
=== Find next job to run ===
next job: 1 MD duplicate(s) at 2800.0 K
2800, 2800, 1
Adaptive temp step = 100
2800
Start running job (temp, id) 2800 1000 ...
DeepMD environment loaded
CONDA_PREFIX=/home/qhong7/anaconda3/envs/deepmd_lmp_gpu
LD_LIBRARY_PATH=/data/qhong7/qhong7/lammps/lammps-deepmd-plugin/build:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/deepmd/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/torch/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/tensorflow:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cusparse/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cusolver/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/curand/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/nvjitlink/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cufft/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cuda_cupti/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cuda_runtime/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/nccl/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/nvtx/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cuda_nvrtc/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cufile/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cudnn/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cublas/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/nvshmem/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cusparselt/lib:/home/qhong7/data/lammps/lammps-mace/build:/home/qhong7/anaconda3/envs/keras2_fixed/lib:/packages/apps/nvhpc/26.3-cuda-13.1/Linux_x86_64/26.3/cuda/13.1/lib64
Using closest available scale or default: 1.0125000000000006
==============================
Iteration 1
Current scale = 1.0125000000000006
Pressure = 88483.886400
New scale = 1.0225000000000006
==============================
Iteration 2
Current scale = 1.0225000000000006
Pressure = 30569.307700
New scale = 1.0325000000000006
==============================
Iteration 3
Current scale = 1.0325000000000006
Pressure = -50611.428200
Step reduced to 0.005
New scale = 1.0275000000000007
==============================
Iteration 4
Current scale = 1.0275000000000007
Pressure = 49.034600
Converged!
Now running full trajectory...
Completed!
==============================
Wrote /data/qhong7/qhong7/sluschi_auto/6de5c346-e59f-4583-95a1-eb6835091a28/SiC/Dir_lammps/summary.csv
Wrote /data/qhong7/qhong7/sluschi_auto/6de5c346-e59f-4583-95a1-eb6835091a28/SiC/Dir_lammps/summary.out
Collected 5 folders
Wrote phase_pred.csv
Label counts:
solid = 5
liquid = 0
Wrote jobs_results.out
---------------------------------------------
Temp | Solid | Liquid | Total
---------------------------------------------
500 | 1 | 0 | 1
1000 | 1 | 0 | 1
1500 | 1 | 0 | 1
2000 | 1 | 0 | 1
2800 | 1 | 0 | 1
---------------------------------------------
====================================
Melting Point Fit (MPFit)
====================================
Tm = 2859.99 K
Uncertainty = 9752.08 K
====================================
jobs_to_run.out Jobs completed
=== running MPFit ===
Melting temperature and std error: 2859.9890240000004 9721.4841017472154
500 1 0 1
1000 1 0 1
1500 1 0 1
2000 1 0 1
2800 1 0 1
=== Find next job to run ===
next job: 1 MD duplicate(s) at 3600.0 K
3600, 3600, 1
Adaptive temp step = 100
3600
Start running job (temp, id) 3600 1000 ...
DeepMD environment loaded
CONDA_PREFIX=/home/qhong7/anaconda3/envs/deepmd_lmp_gpu
LD_LIBRARY_PATH=/data/qhong7/qhong7/lammps/lammps-deepmd-plugin/build:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/deepmd/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/torch/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/tensorflow:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cusparse/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cusolver/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/curand/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/nvjitlink/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cufft/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cuda_cupti/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cuda_runtime/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/nccl/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/nvtx/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cuda_nvrtc/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cufile/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cudnn/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cublas/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/nvshmem/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cusparselt/lib:/home/qhong7/data/lammps/lammps-mace/build:/home/qhong7/anaconda3/envs/keras2_fixed/lib:/packages/apps/nvhpc/26.3-cuda-13.1/Linux_x86_64/26.3/cuda/13.1/lib64
Using closest available scale or default: 1.0275000000000007
==============================
Iteration 1
Current scale = 1.0275000000000007
Pressure = 118349.629200
New scale = 1.0375000000000008
==============================
Iteration 2
Current scale = 1.0375000000000008
Pressure = 87795.217890
New scale = 1.0475000000000008
==============================
Iteration 3
Current scale = 1.0475000000000008
Pressure = 75476.305400
New scale = 1.0575000000000008
==============================
Iteration 4
Current scale = 1.0575000000000008
Pressure = 59992.476700
New scale = 1.0675000000000008
==============================
Iteration 5
Current scale = 1.0675000000000008
Pressure = 41711.152600
New scale = 1.0775000000000008
Now running full trajectory...
Completed!
==============================
Wrote /data/qhong7/qhong7/sluschi_auto/6de5c346-e59f-4583-95a1-eb6835091a28/SiC/Dir_lammps/summary.csv
Wrote /data/qhong7/qhong7/sluschi_auto/6de5c346-e59f-4583-95a1-eb6835091a28/SiC/Dir_lammps/summary.out
Collected 6 folders
Wrote phase_pred.csv
Label counts:
solid = 5
liquid = 1
Wrote jobs_results.out
---------------------------------------------
Temp | Solid | Liquid | Total
---------------------------------------------
500 | 1 | 0 | 1
1000 | 1 | 0 | 1
1500 | 1 | 0 | 1
2000 | 1 | 0 | 1
2800 | 1 | 0 | 1
3600 | 0 | 1 | 1
---------------------------------------------
====================================
Melting Point Fit (MPFit)
====================================
Tm = 2891.45 K
Uncertainty = 14283.17 K
====================================
jobs_to_run.out Jobs completed
=== running MPFit ===
Melting temperature and std error: 2891.4451080000003 14299.411738598512
500 1 0 1
1000 1 0 1
1500 1 0 1
2000 1 0 1
2800 1 0 1
3600 0 1 1
=== Find next job to run ===
next job: 1 MD duplicate(s) at 3200.0000000000000 K
3200, 3200, 1
Adaptive temp step = 100
3200
Start running job (temp, id) 3200 1000 ...
DeepMD environment loaded
CONDA_PREFIX=/home/qhong7/anaconda3/envs/deepmd_lmp_gpu
LD_LIBRARY_PATH=/data/qhong7/qhong7/lammps/lammps-deepmd-plugin/build:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/deepmd/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/torch/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/tensorflow:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cusparse/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cusolver/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/curand/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/nvjitlink/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cufft/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cuda_cupti/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cuda_runtime/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/nccl/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/nvtx/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cuda_nvrtc/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cufile/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cudnn/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cublas/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/nvshmem/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cusparselt/lib:/home/qhong7/data/lammps/lammps-mace/build:/home/qhong7/anaconda3/envs/keras2_fixed/lib:/packages/apps/nvhpc/26.3-cuda-13.1/Linux_x86_64/26.3/cuda/13.1/lib64
Using closest available scale or default: 1.0275000000000007
==============================
Iteration 1
Current scale = 1.0275000000000007
Pressure = 115240.349100
New scale = 1.0375000000000008
==============================
Iteration 2
Current scale = 1.0375000000000008
Pressure = 77654.084050
New scale = 1.0475000000000008
==============================
Iteration 3
Current scale = 1.0475000000000008
Pressure = 67479.441900
New scale = 1.0575000000000008
==============================
Iteration 4
Current scale = 1.0575000000000008
Pressure = 42423.465400
New scale = 1.0675000000000008
==============================
Iteration 5
Current scale = 1.0675000000000008
Pressure = 32320.340600
New scale = 1.0775000000000008
Now running full trajectory...
Completed!
==============================
Wrote /data/qhong7/qhong7/sluschi_auto/6de5c346-e59f-4583-95a1-eb6835091a28/SiC/Dir_lammps/summary.csv
Wrote /data/qhong7/qhong7/sluschi_auto/6de5c346-e59f-4583-95a1-eb6835091a28/SiC/Dir_lammps/summary.out
Collected 7 folders
Wrote phase_pred.csv
Label counts:
solid = 5
liquid = 2
Wrote jobs_results.out
---------------------------------------------
Temp | Solid | Liquid | Total
---------------------------------------------
500 | 1 | 0 | 1
1000 | 1 | 0 | 1
1500 | 1 | 0 | 1
2000 | 1 | 0 | 1
2800 | 1 | 0 | 1
3200 | 0 | 1 | 1
3600 | 0 | 1 | 1
---------------------------------------------
====================================
Melting Point Fit (MPFit)
====================================
Tm = 2889.21 K
Uncertainty = 14421.01 K
====================================
jobs_to_run.out Jobs completed
=== running MPFit ===
Melting temperature and std error: 2889.2136659999996 14376.708263546596
500 1 0 1
1000 1 0 1
1500 1 0 1
2000 1 0 1
2800 1 0 1
3200 0 1 1
3600 0 1 1
=== Find next job to run ===
next job: 4 MD duplicate(s) at 2800.0000000000000 K
next job: 4 MD duplicate(s) at 3200.0000000000000 K
2800, 2800, 4
Adaptive temp step = 100
2800
Start running job (temp, id) 2800 1100 ...
DeepMD environment loaded
CONDA_PREFIX=/home/qhong7/anaconda3/envs/deepmd_lmp_gpu
LD_LIBRARY_PATH=/data/qhong7/qhong7/lammps/lammps-deepmd-plugin/build:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/deepmd/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/torch/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/tensorflow:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cusparse/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cusolver/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/curand/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/nvjitlink/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cufft/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cuda_cupti/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cuda_runtime/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/nccl/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/nvtx/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cuda_nvrtc/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cufile/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cudnn/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cublas/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/nvshmem/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cusparselt/lib:/home/qhong7/data/lammps/lammps-mace/build:/home/qhong7/anaconda3/envs/keras2_fixed/lib:/packages/apps/nvhpc/26.3-cuda-13.1/Linux_x86_64/26.3/cuda/13.1/lib64
Using scale from current temperature folder: 1.0275000000000007
==============================
Iteration 1
Current scale = 1.0275000000000007
Pressure = 56116.602500
New scale = 1.0375000000000008
==============================
Iteration 2
Current scale = 1.0375000000000008
Pressure = 28885.308460
New scale = 1.0475000000000008
==============================
Iteration 3
Current scale = 1.0475000000000008
Pressure = 22877.912200
New scale = 1.0575000000000008
==============================
Iteration 4
Current scale = 1.0575000000000008
Pressure = -11233.780999
Step reduced to 0.005
New scale = 1.0525000000000009
==============================
Iteration 5
Current scale = 1.0525000000000009
Pressure = 9140.376590
Step reduced to 0.0025
New scale = 1.0550000000000008
Now running full trajectory...
Completed!
==============================
Start running job (temp, id) 2800 1200 ...
DeepMD environment loaded
CONDA_PREFIX=/home/qhong7/anaconda3/envs/deepmd_lmp_gpu
LD_LIBRARY_PATH=/data/qhong7/qhong7/lammps/lammps-deepmd-plugin/build:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/deepmd/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/torch/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/tensorflow:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cusparse/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cusolver/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/curand/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/nvjitlink/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cufft/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cuda_cupti/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cuda_runtime/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/nccl/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/nvtx/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cuda_nvrtc/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cufile/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cudnn/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cublas/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/nvshmem/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cusparselt/lib:/home/qhong7/data/lammps/lammps-mace/build:/home/qhong7/anaconda3/envs/keras2_fixed/lib:/packages/apps/nvhpc/26.3-cuda-13.1/Linux_x86_64/26.3/cuda/13.1/lib64
Using scale from current temperature folder: 1.0550000000000008
==============================
Iteration 1
Current scale = 1.0550000000000008
Pressure = -71559.298200
Step reduced to 0.005
New scale = 1.050000000000001
==============================
Iteration 2
Current scale = 1.050000000000001
Pressure = 9763.687800
Step reduced to 0.0025
New scale = 1.0525000000000009
==============================
Iteration 3
Current scale = 1.0525000000000009
Pressure = -27728.220660
Step reduced to 0.00125
New scale = 1.051250000000001
==============================
Iteration 4
Current scale = 1.051250000000001
Pressure = -14286.168850
New scale = 1.050000000000001
==============================
Iteration 5
Current scale = 1.050000000000001
Pressure = -67344.066300
New scale = 1.048750000000001
Now running full trajectory...
Completed!
==============================
Start running job (temp, id) 2800 1300 ...
DeepMD environment loaded
CONDA_PREFIX=/home/qhong7/anaconda3/envs/deepmd_lmp_gpu
LD_LIBRARY_PATH=/data/qhong7/qhong7/lammps/lammps-deepmd-plugin/build:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/deepmd/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/torch/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/tensorflow:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cusparse/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cusolver/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/curand/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/nvjitlink/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cufft/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cuda_cupti/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cuda_runtime/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/nccl/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/nvtx/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cuda_nvrtc/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cufile/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cudnn/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cublas/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/nvshmem/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cusparselt/lib:/home/qhong7/data/lammps/lammps-mace/build:/home/qhong7/anaconda3/envs/keras2_fixed/lib:/packages/apps/nvhpc/26.3-cuda-13.1/Linux_x86_64/26.3/cuda/13.1/lib64
Using scale from current temperature folder: 1.048750000000001
==============================
Iteration 1
Current scale = 1.048750000000001
Pressure = 39617.941500
New scale = 1.058750000000001
==============================
Iteration 2
Current scale = 1.058750000000001
Pressure = 17876.821600
New scale = 1.068750000000001
==============================
Iteration 3
Current scale = 1.068750000000001
Pressure = 13355.370100
New scale = 1.078750000000001
==============================
Iteration 4
Current scale = 1.078750000000001
Pressure = 3179.160560
Converged!
Now running full trajectory...
Completed!
==============================
3200, 3200, 4
Adaptive temp step = 100
3200
Start running job (temp, id) 3200 1100 ...
DeepMD environment loaded
CONDA_PREFIX=/home/qhong7/anaconda3/envs/deepmd_lmp_gpu
LD_LIBRARY_PATH=/data/qhong7/qhong7/lammps/lammps-deepmd-plugin/build:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/deepmd/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/torch/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/tensorflow:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cusparse/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cusolver/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/curand/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/nvjitlink/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cufft/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cuda_cupti/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cuda_runtime/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/nccl/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/nvtx/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cuda_nvrtc/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cufile/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cudnn/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cublas/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/nvshmem/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cusparselt/lib:/home/qhong7/data/lammps/lammps-mace/build:/home/qhong7/anaconda3/envs/keras2_fixed/lib:/packages/apps/nvhpc/26.3-cuda-13.1/Linux_x86_64/26.3/cuda/13.1/lib64
Using scale from current temperature folder: 1.0775000000000008
==============================
Iteration 1
Current scale = 1.0775000000000008
Pressure = 15745.048500
New scale = 1.0875000000000008
==============================
Iteration 2
Current scale = 1.0875000000000008
Pressure = 5862.011170
New scale = 1.0975000000000008
==============================
Iteration 3
Current scale = 1.0975000000000008
Pressure = -1990.158909
Converged!
Now running full trajectory...
Completed!
==============================
Start running job (temp, id) 3200 1200 ...
DeepMD environment loaded
CONDA_PREFIX=/home/qhong7/anaconda3/envs/deepmd_lmp_gpu
LD_LIBRARY_PATH=/data/qhong7/qhong7/lammps/lammps-deepmd-plugin/build:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/deepmd/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/torch/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/tensorflow:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cusparse/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cusolver/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/curand/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/nvjitlink/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cufft/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cuda_cupti/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cuda_runtime/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/nccl/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/nvtx/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cuda_nvrtc/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cufile/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cudnn/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cublas/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/nvshmem/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cusparselt/lib:/home/qhong7/data/lammps/lammps-mace/build:/home/qhong7/anaconda3/envs/keras2_fixed/lib:/packages/apps/nvhpc/26.3-cuda-13.1/Linux_x86_64/26.3/cuda/13.1/lib64
Using scale from current temperature folder: 1.0975000000000008
==============================
Iteration 1
Current scale = 1.0975000000000008
Pressure = 3365.859310
Converged!
Now running full trajectory...
Completed!
==============================
Start running job (temp, id) 3200 1300 ...
DeepMD environment loaded
CONDA_PREFIX=/home/qhong7/anaconda3/envs/deepmd_lmp_gpu
LD_LIBRARY_PATH=/data/qhong7/qhong7/lammps/lammps-deepmd-plugin/build:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/deepmd/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/torch/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/tensorflow:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cusparse/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cusolver/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/curand/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/nvjitlink/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cufft/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cuda_cupti/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cuda_runtime/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/nccl/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/nvtx/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cuda_nvrtc/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cufile/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cudnn/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cublas/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/nvshmem/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cusparselt/lib:/home/qhong7/data/lammps/lammps-mace/build:/home/qhong7/anaconda3/envs/keras2_fixed/lib:/packages/apps/nvhpc/26.3-cuda-13.1/Linux_x86_64/26.3/cuda/13.1/lib64
Using scale from current temperature folder: 1.0975000000000008
==============================
Iteration 1
Current scale = 1.0975000000000008
Pressure = 4306.308030
Converged!
Now running full trajectory...
Completed!
==============================
Wrote /data/qhong7/qhong7/sluschi_auto/6de5c346-e59f-4583-95a1-eb6835091a28/SiC/Dir_lammps/summary.csv
Wrote /data/qhong7/qhong7/sluschi_auto/6de5c346-e59f-4583-95a1-eb6835091a28/SiC/Dir_lammps/summary.out
Collected 13 folders
Wrote phase_pred.csv
Label counts:
solid = 6
liquid = 7
Wrote jobs_results.out
---------------------------------------------
Temp | Solid | Liquid | Total
---------------------------------------------
500 | 1 | 0 | 1
1000 | 1 | 0 | 1
1500 | 1 | 0 | 1
2000 | 1 | 0 | 1
2800 | 2 | 2 | 4
3200 | 0 | 4 | 4
3600 | 0 | 1 | 1
---------------------------------------------
====================================
Melting Point Fit (MPFit)
====================================
Tm = 2701.51 K
Uncertainty = 441.97 K
====================================
jobs_to_run.out Jobs completed
=== running MPFit ===
Melting temperature and std error: 2700.2058120670358 441.06230695352889
500 1 0 1
1000 1 0 1
1500 1 0 1
2000 1 0 1
2800 2 2 4
3200 0 4 4
3600 0 1 1
=== Find next job to run ===
next job: 1 MD duplicate(s) at 2400.0000000000000 K
next job: 4 MD duplicate(s) at 2800.0000000000000 K
next job: 4 MD duplicate(s) at 3200.0000000000000 K
next job: 1 MD duplicate(s) at 2400.0000000000000 K
2400, 2400, 1
Adaptive temp step = 100
2400
Start running job (temp, id) 2400 1000 ...
DeepMD environment loaded
CONDA_PREFIX=/home/qhong7/anaconda3/envs/deepmd_lmp_gpu
LD_LIBRARY_PATH=/data/qhong7/qhong7/lammps/lammps-deepmd-plugin/build:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/deepmd/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/torch/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/tensorflow:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cusparse/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cusolver/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/curand/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/nvjitlink/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cufft/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cuda_cupti/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cuda_runtime/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/nccl/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/nvtx/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cuda_nvrtc/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cufile/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cudnn/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cublas/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/nvshmem/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cusparselt/lib:/home/qhong7/data/lammps/lammps-mace/build:/home/qhong7/anaconda3/envs/keras2_fixed/lib:/packages/apps/nvhpc/26.3-cuda-13.1/Linux_x86_64/26.3/cuda/13.1/lib64
Using closest available scale or default: 1.0125000000000006
==============================
Iteration 1
Current scale = 1.0125000000000006
Pressure = 23413.015780
New scale = 1.0225000000000006
==============================
Iteration 2
Current scale = 1.0225000000000006
Pressure = -36931.796200
Step reduced to 0.005
New scale = 1.0175000000000007
==============================
Iteration 3
Current scale = 1.0175000000000007
Pressure = -9958.706407
New scale = 1.0125000000000008
==============================
Iteration 4
Current scale = 1.0125000000000008
Pressure = 16625.542790
Step reduced to 0.0025
New scale = 1.0150000000000008
==============================
Iteration 5
Current scale = 1.0150000000000008
Pressure = 6148.883192
New scale = 1.0175000000000007
Now running full trajectory...
Completed!
==============================
2800, 2800, 4
Adaptive temp step = 100
2800
3200, 3200, 4
Adaptive temp step = 100
3200
2400, 2400, 1
Adaptive temp step = 100
2400
Wrote /data/qhong7/qhong7/sluschi_auto/6de5c346-e59f-4583-95a1-eb6835091a28/SiC/Dir_lammps/summary.csv
Wrote /data/qhong7/qhong7/sluschi_auto/6de5c346-e59f-4583-95a1-eb6835091a28/SiC/Dir_lammps/summary.out
Collected 14 folders
Wrote phase_pred.csv
Label counts:
solid = 7
liquid = 7
Wrote jobs_results.out
---------------------------------------------
Temp | Solid | Liquid | Total
---------------------------------------------
500 | 1 | 0 | 1
1000 | 1 | 0 | 1
1500 | 1 | 0 | 1
2000 | 1 | 0 | 1
2400 | 1 | 0 | 1
2800 | 2 | 2 | 4
3200 | 0 | 4 | 4
3600 | 0 | 1 | 1
---------------------------------------------
====================================
Melting Point Fit (MPFit)
====================================
Tm = 2745.61 K
Uncertainty = 246.14 K
====================================
jobs_to_run.out Jobs completed
=== running MPFit ===
Melting temperature and std error: 2745.4595158770658 245.78080846717245
500 1 0 1
1000 1 0 1
1500 1 0 1
2000 1 0 1
2400 1 0 1
2800 2 2 4
3200 0 4 4
3600 0 1 1
=== Find next job to run ===
next job: 4 MD duplicate(s) at 2400.0000000000000 K
next job: 4 MD duplicate(s) at 2800.0000000000000 K
next job: 4 MD duplicate(s) at 2800.0000000000000 K
next job: 4 MD duplicate(s) at 3200.0000000000000 K
next job: 4 MD duplicate(s) at 2400.0000000000000 K
next job: 4 MD duplicate(s) at 2800.0000000000000 K
2400, 2400, 4
Adaptive temp step = 100
2400
Start running job (temp, id) 2400 1100 ...
DeepMD environment loaded
CONDA_PREFIX=/home/qhong7/anaconda3/envs/deepmd_lmp_gpu
LD_LIBRARY_PATH=/data/qhong7/qhong7/lammps/lammps-deepmd-plugin/build:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/deepmd/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/torch/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/tensorflow:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cusparse/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cusolver/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/curand/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/nvjitlink/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cufft/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cuda_cupti/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cuda_runtime/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/nccl/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/nvtx/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cuda_nvrtc/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cufile/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cudnn/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cublas/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/nvshmem/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cusparselt/lib:/home/qhong7/data/lammps/lammps-mace/build:/home/qhong7/anaconda3/envs/keras2_fixed/lib:/packages/apps/nvhpc/26.3-cuda-13.1/Linux_x86_64/26.3/cuda/13.1/lib64
Using scale from current temperature folder: 1.0175000000000007
==============================
Iteration 1
Current scale = 1.0175000000000007
Pressure = -6352.614390
Step reduced to 0.005
New scale = 1.0125000000000008
==============================
Iteration 2
Current scale = 1.0125000000000008
Pressure = 11446.921374
Step reduced to 0.0025
New scale = 1.0150000000000008
==============================
Iteration 3
Current scale = 1.0150000000000008
Pressure = 9071.608430
New scale = 1.0175000000000007
==============================
Iteration 4
Current scale = 1.0175000000000007
Pressure = -7202.943764
Step reduced to 0.00125
New scale = 1.0162500000000008
==============================
Iteration 5
Current scale = 1.0162500000000008
Pressure = 1872.901549
Converged!
Now running full trajectory...
/data/qhong7/qhong7/sluschi_auto/6de5c346-e59f-4583-95a1-eb6835091a28/SiC/Dir_lammps
['Si', 'C']
elements: ['Si', 'C']
counts: [66, 66]
Original Tm = 1000.0
New temp = 500
New temp_end = 2000
500, 2000, 1
Adaptive temp step = 500
500
1000
1500
2000
500, 500, 1
Adaptive temp step = 100
500
Wrote /data/qhong7/qhong7/sluschi_auto/6de5c346-e59f-4583-95a1-eb6835091a28/SiC/Dir_lammps/summary.csv
Wrote /data/qhong7/qhong7/sluschi_auto/6de5c346-e59f-4583-95a1-eb6835091a28/SiC/Dir_lammps/summary.out
Collected 14 folders
Wrote phase_pred.csv
Label counts:
solid = 7
liquid = 7
Wrote jobs_results.out
---------------------------------------------
Temp | Solid | Liquid | Total
---------------------------------------------
500 | 1 | 0 | 1
1000 | 1 | 0 | 1
1500 | 1 | 0 | 1
2000 | 1 | 0 | 1
2400 | 1 | 0 | 1
2800 | 2 | 2 | 4
3200 | 0 | 4 | 4
3600 | 0 | 1 | 1
---------------------------------------------
====================================
Melting Point Fit (MPFit)
====================================
Tm = 2744.66 K
Uncertainty = 246.82 K
====================================
jobs_to_run.out Jobs completed
=== running MPFit ===
Melting temperature and std error: 2745.3258845124401 246.13443273670890
500 1 0 1
1000 1 0 1
1500 1 0 1
2000 1 0 1
2400 1 0 1
2800 2 2 4
3200 0 4 4
3600 0 1 1
=== Find next job to run ===
next job: 4 MD duplicate(s) at 2400.0000000000000 K
next job: 4 MD duplicate(s) at 2800.0000000000000 K
next job: 4 MD duplicate(s) at 2800.0000000000000 K
next job: 4 MD duplicate(s) at 3200.0000000000000 K
next job: 4 MD duplicate(s) at 2400.0000000000000 K
next job: 4 MD duplicate(s) at 2800.0000000000000 K
2400, 2400, 4
Adaptive temp step = 100
2400
Start running job (temp, id) 2400 1100 ...
DeepMD environment loaded
CONDA_PREFIX=/home/qhong7/anaconda3/envs/deepmd_lmp_gpu
LD_LIBRARY_PATH=/data/qhong7/qhong7/lammps/lammps-deepmd-plugin/build:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/deepmd/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/torch/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/tensorflow:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cusparse/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cusolver/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/curand/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/nvjitlink/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cufft/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cuda_cupti/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cuda_runtime/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/nccl/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/nvtx/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cuda_nvrtc/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cufile/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cudnn/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cublas/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/nvshmem/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cusparselt/lib:/home/qhong7/data/lammps/lammps-mace/build/:/home/qhong7/anaconda3/envs/keras2_fixed/lib:/packages/apps/nvhpc/26.3-cuda-13.1/Linux_x86_64/26.3/cuda/13.1/lib64
Using scale from current temperature folder: 1.0162500000000008
==============================
Iteration 1
Current scale = 1.0162500000000008
Pressure = -3333.909742
Converged!
Now running full trajectory...
Completed!
==============================
Start running job (temp, id) 2400 1200 ...
DeepMD environment loaded
CONDA_PREFIX=/home/qhong7/anaconda3/envs/deepmd_lmp_gpu
LD_LIBRARY_PATH=/data/qhong7/qhong7/lammps/lammps-deepmd-plugin/build:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/deepmd/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/torch/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/tensorflow:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cusparse/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cusolver/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/curand/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/nvjitlink/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cufft/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cuda_cupti/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cuda_runtime/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/nccl/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/nvtx/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cuda_nvrtc/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cufile/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cudnn/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cublas/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/nvshmem/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cusparselt/lib:/home/qhong7/data/lammps/lammps-mace/build/:/home/qhong7/anaconda3/envs/keras2_fixed/lib:/packages/apps/nvhpc/26.3-cuda-13.1/Linux_x86_64/26.3/cuda/13.1/lib64
Using scale from current temperature folder: 1.0162500000000008
==============================
Iteration 1
Current scale = 1.0162500000000008
Pressure = 828.697740
Converged!
Now running full trajectory...
Completed!
==============================
Start running job (temp, id) 2400 1300 ...
DeepMD environment loaded
CONDA_PREFIX=/home/qhong7/anaconda3/envs/deepmd_lmp_gpu
LD_LIBRARY_PATH=/data/qhong7/qhong7/lammps/lammps-deepmd-plugin/build:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/deepmd/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/torch/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/tensorflow:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cusparse/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cusolver/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/curand/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/nvjitlink/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cufft/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cuda_cupti/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cuda_runtime/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/nccl/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/nvtx/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cuda_nvrtc/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cufile/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cudnn/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cublas/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/nvshmem/lib:/home/qhong7/anaconda3/envs/deepmd_lmp_gpu/lib/python3.10/site-packages/nvidia/cusparselt/lib:/home/qhong7/data/lammps/lammps-mace/build/:/home/qhong7/anaconda3/envs/keras2_fixed/lib:/packages/apps/nvhpc/26.3-cuda-13.1/Linux_x86_64/26.3/cuda/13.1/lib64
Using scale from current temperature folder: 1.0162500000000008
==============================
Iteration 1
Current scale = 1.0162500000000008
Pressure = 4204.947940
Converged!
Now running full trajectory...
Completed!
==============================
2800, 2800, 4
Adaptive temp step = 100
2800
2800, 2800, 4
Adaptive temp step = 100
2800
3200, 3200, 4
Adaptive temp step = 100
3200
2400, 2400, 4
Adaptive temp step = 100
2400
2800, 2800, 4
Adaptive temp step = 100
2800
Wrote /data/qhong7/qhong7/sluschi_auto/6de5c346-e59f-4583-95a1-eb6835091a28/SiC/Dir_lammps/summary.csv
Wrote /data/qhong7/qhong7/sluschi_auto/6de5c346-e59f-4583-95a1-eb6835091a28/SiC/Dir_lammps/summary.out
Collected 17 folders
Wrote phase_pred.csv
Label counts:
solid = 10
liquid = 7
Wrote jobs_results.out
---------------------------------------------
Temp | Solid | Liquid | Total
---------------------------------------------
500 | 1 | 0 | 1
1000 | 1 | 0 | 1
1500 | 1 | 0 | 1
2000 | 1 | 0 | 1
2400 | 4 | 0 | 4
2800 | 2 | 2 | 4
3200 | 0 | 4 | 4
3600 | 0 | 1 | 1
---------------------------------------------
====================================
Melting Point Fit (MPFit)
====================================
Tm = 2798.85 K
Uncertainty = 114.15 K
====================================
jobs_to_run.out Jobs completed
=== running MPFit ===
Melting temperature and std error: 2799.7720205608161 114.47747659882874
500 1 0 1
1000 1 0 1
1500 1 0 1
2000 1 0 1
2400 4 0 4
2800 2 2 4
3200 0 4 4
3600 0 1 1
current fit
1 2799.7720205608161 114.47747659882874
possibilities:
current fit
0 2799.7720205608161 114.47747659882874
possibilities:
MP accuracy achieved. Stopping code...
summary.out
======================================================================================================================================================
folder poteng [eV/atom] kineng [eV/atom] temp [K] volume [Ang^3/atom] press [bar] energy_slope energy_dir diffusion [cm^2/s] spg
------ ---------------- ---------------- ----------- ------------------- ------------ ------------ ---------- ------------------ ------
1000/1 -7.413589 0.129479 1005.502266 10.715523 -1408.337838 -0.00000018 down 2.620e-09 P1 (1)
1500/1 -7.340036 0.190604 1480.180870 10.799532 888.537728 0.00000036 up 1.260e-09 P1 (1)
2000/1 -7.267858 0.255185 1981.702905 10.864197 6249.028893 -0.00000054 down 2.110e-08 P1 (1)
2400/1 -7.207927 0.306425 2379.618490 10.903436 12622.120525 -0.00000070 down 1.490e-10 P1 (1)
2400/2 -7.171069 0.308338 2394.480385 10.967189 8873.463785 -0.00000020 down 1.780e-08 P1 (1)
2400/3 -7.191497 0.314694 2443.837920 10.980145 4106.787927 -0.00000481 down 1.580e-08 P1 (1)
2400/4 -7.210831 0.309970 2407.148555 10.911541 11178.950905 -0.00000101 down 3.960e-08 P1 (1)
2800/1 -7.107939 0.359137 2788.967485 10.991747 21691.007750 -0.00001144 down 1.540e-08 P1 (1)
2800/2 -6.230287 0.355736 2762.556535 13.488491 21370.501350 0.00002034 up 1.060e-04 P1 (1)
2800/3 -7.025280 0.361240 2805.303400 10.913911 47268.271900 -0.00000945 down 1.640e-09 P1 (1)
2800/4 -6.203179 0.359181 2789.312655 14.010773 14989.060490 0.00000562 up 9.460e-05 P1 (1)
3200/1 -6.106976 0.412810 3205.776925 14.466424 16302.761150 0.00000717 up 1.870e-04 P1 (1)
3200/2 -6.082646 0.404116 3138.264605 14.809227 13550.611861 0.00000417 up 2.000e-04 P1 (1)
3200/3 -6.083814 0.407855 3167.297785 14.835380 12121.442869 0.00000406 up 1.640e-04 P1 (1)
3200/4 -6.078377 0.414217 3216.709175 14.869297 8607.861831 0.00000672 up 2.240e-04 P1 (1)
3600/1 -6.018697 0.465804 3617.316720 14.659032 19929.672790 0.00000685 up 2.510e-04 P1 (1)
500/1 -7.481727 0.065090 505.474188 10.607380 1978.627324 -0.00000012 down 3.060e-09 P1 (1)
======================================================================================================================================================
Wrote /data/qhong7/qhong7/sluschi_auto/6de5c346-e59f-4583-95a1-eb6835091a28/SiC/Dir_lammps/summary.csv
Wrote /data/qhong7/qhong7/sluschi_auto/6de5c346-e59f-4583-95a1-eb6835091a28/SiC/Dir_lammps/summary.out
Collected 17 folders
Wrote phase_pred.csv
Label counts:
solid = 10
liquid = 7
Wrote jobs_results.out
---------------------------------------------
Temp | Solid | Liquid | Total
---------------------------------------------
500 | 1 | 0 | 1
1000 | 1 | 0 | 1
1500 | 1 | 0 | 1
2000 | 1 | 0 | 1
2400 | 4 | 0 | 4
2800 | 2 | 2 | 4
3200 | 0 | 4 | 4
3600 | 0 | 1 | 1
---------------------------------------------
====================================
Melting Point Fit (MPFit)
====================================
Tm = 2799.85 K
Uncertainty = 113.92 K
====================================
Wrote /data/qhong7/qhong7/sluschi_auto/6de5c346-e59f-4583-95a1-eb6835091a28/SiC/Dir_lammps/cost_table.out
Collected 76 log files
====================================
Computational cost summary:
Number of trajectories (temp/id) = 17
Total log files (incl. subruns) = 76
Total wall time = 29:00:52
Total seconds = 104452
Total GPU hours = 29.01
====================================
=== PBE correction ===
N rows with PBE energy = 12
MT_LMP = 2799.8510595360285
STD_LMP = 113.92270594983907
SOLID (PBE present only):
lammps_poteng_eV_per_atom = -7.14839078
PBE_energy_eV_per_atom = -7.14018542
LIQUID (PBE present only):
lammps_poteng_eV_per_atom = -6.12380095
PBE_energy_eV_per_atom = -6.16101463
DH_LMP_raw_PBE = 1.02458984 eV/atom
DH_LMP_PBE = 0.91247213 eV/atom
DH_PBE = 0.86705307 eV/atom
Cp_solid_PBE = 1.73343158e-04 eV/atom/K
Cp_liquid_PBE = 2.47098248e-04 eV/atom/K
Cp_avg_PBE = 2.10220703e-04 eV/atom/K
DeltaT_PBE = 533.33 K
DH_raw_PBE = 0.97917078 eV/atom
MT_PBE = 2660.48616238 K
Si1 C1 1.0 2.6662662099999999 0.0000000000000000 1.5393685000000001 0.8887547400000000 2.5137785799999999 1.5393685000000001 0.0000000000000000 0.0000000000000000 3.0787380000000000 Si C 1 1 direct 0.2500000000000000 0.2500000000000000 0.2500000000000000 Si 0.0000000000000000 -0.0000000000000000 -0.0000000000000000 C
No output files have been received yet.