| Method / sample set | ΔH | ΔS estimate |
|---|---|---|
| uMLIP (PBE sample set) |
0.179063 eV/atom
17.2769 kJ/mol of atoms
|
5.97455e-05
eV/(atom K)
5.76456 J/(mol of atoms K)
|
| PBE |
0.175942 eV/atom
16.9758 kJ/mol of atoms
|
Inherited from matched uMLIP estimate
5.76456 J/(mol of atoms K)
|
| uMLIP (R2SCAN sample set) |
— eV/atom
— kJ/mol of atoms
|
—
eV/(atom K)
— J/(mol of atoms K)
|
| R2SCAN |
— eV/atom
— kJ/mol of atoms
|
—
eV/(atom K)
— J/(mol of atoms K)
|
ΔH is the liquid-minus-solid value reported by the existing correction workflow. Each uMLIP row uses the sample set matched to that DFT method. Uncertainties are standard errors; — means unavailable.
ΔS is estimated as ΔHuMLIP/Tm,uMLIP. Its propagated uncertainty assumes these two quantities are independent. The current PBE/R2SCAN correction inherits this entropy estimate; it is not an independently calculated DFT entropy.
| Sample set | Cp,solid | Cp,liquid |
|---|---|---|
| uMLIP (PBE sample set) |
— J/(mol of atoms K)
— eV/(atom K)
|
— J/(mol of atoms K)
— eV/(atom K)
|
| uMLIP (R2SCAN sample set) |
— J/(mol of atoms K)
— eV/(atom K)
|
— J/(mol of atoms K)
— eV/(atom K)
|
Values reported in SLUSCHI.out by the correction workflow. These are uMLIP potential-energy–temperature slopes for the PBE/R2SCAN sample sets, not full thermodynamic heat capacities or independent DFT heat capacities. The workflow may substitute the other phase's slope when one is unavailable. Uncertainties are not reported; — means unavailable.
| Vsolid [ų/atom] | Vliquid [ų/atom] | ΔV [ų/atom] |
|---|---|---|
| — | — | — |
=======================================================================================================
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:
0.0000000000000000 0.0000000000000000 -10.797829260000000
-6.2341274700000007 8.8163902800000002 0.0000000000000000
8.3121739800000007 5.8775935200000005 -2.0400000000364571E-006
|a|,|b|,|c|,theta(bc),theta(ac),theta(ab):
10.798 10.798 10.180 90.000 90.000 90.000
In UNIT-cell, number of atoms: 1 2 total: 3
Inverse Matrix is:
-1.5152625779434516E-008 -5.3469106537282464E-002 8.0203659805923699E-002
-1.0714521205860556E-008 7.5616749368719052E-002 5.6712534598756872E-002
-9.2611206930678952E-002 0.0000000000000000 0.0000000000000000
In SUPER-cell, number of atoms: 36 72 total: 108
POSCAR_STRCT atoms = 108
Accepted radius = 11 with 108 atoms
====================================================================================================
/data/qhong7/qhong7/sluschi_auto/37b963d5-ddfe-4f48-8c68-44d41a287d75/ZrO2/Dir_lammps
['Zr', 'O']
elements: ['Zr', 'O']
counts: [36, 72]
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 = 32102.381700
New scale = 1.01
==============================
Iteration 2
Current scale = 1.01
Pressure = -11908.560520
Step reduced to 0.005
New scale = 1.0050000000000001
==============================
Iteration 3
Current scale = 1.0050000000000001
Pressure = 8708.956887
Step reduced to 0.0025
New scale = 1.0075
==============================
Iteration 4
Current scale = 1.0075
Pressure = -1212.825150
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: 1.0075
==============================
Iteration 1
Current scale = 1.0075
Pressure = 31466.618490
New scale = 1.0175
==============================
Iteration 2
Current scale = 1.0175
Pressure = -11495.644570
Step reduced to 0.005
New scale = 1.0125000000000002
==============================
Iteration 3
Current scale = 1.0125000000000002
Pressure = 11400.790942
Step reduced to 0.0025
New scale = 1.0150000000000001
==============================
Iteration 4
Current scale = 1.0150000000000001
Pressure = -1753.706410
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: 1.0150000000000001
==============================
Iteration 1
Current scale = 1.0150000000000001
Pressure = 25240.681790
New scale = 1.0250000000000001
==============================
Iteration 2
Current scale = 1.0250000000000001
Pressure = -7959.606890
Step reduced to 0.005
New scale = 1.0200000000000002
==============================
Iteration 3
Current scale = 1.0200000000000002
Pressure = 9738.308590
Step reduced to 0.0025
New scale = 1.0225000000000002
==============================
Iteration 4
Current scale = 1.0225000000000002
Pressure = -1410.232310
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: 1.0225000000000002
==============================
Iteration 1
Current scale = 1.0225000000000002
Pressure = 31405.770030
New scale = 1.0325000000000002
==============================
Iteration 2
Current scale = 1.0325000000000002
Pressure = -5488.959770
Step reduced to 0.005
New scale = 1.0275000000000003
==============================
Iteration 3
Current scale = 1.0275000000000003
Pressure = 6945.578343
Step reduced to 0.0025
New scale = 1.0300000000000002
==============================
Iteration 4
Current scale = 1.0300000000000002
Pressure = 2883.457158
Converged!
Now running full trajectory...
Completed!
==============================
500, 500, 1
Adaptive temp step = 100
500
Wrote /data/qhong7/qhong7/sluschi_auto/37b963d5-ddfe-4f48-8c68-44d41a287d75/ZrO2/Dir_lammps/summary.csv
Wrote /data/qhong7/qhong7/sluschi_auto/37b963d5-ddfe-4f48-8c68-44d41a287d75/ZrO2/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 = 6626.39 K
====================================
jobs_to_run.out Jobs completed
=== running MPFit ===
Melting temperature and std error: 2044.9288524999999 6636.0170647420873
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: 1.0300000000000002
==============================
Iteration 1
Current scale = 1.0300000000000002
Pressure = 44780.307700
New scale = 1.0400000000000003
==============================
Iteration 2
Current scale = 1.0400000000000003
Pressure = 19117.681000
New scale = 1.0500000000000003
==============================
Iteration 3
Current scale = 1.0500000000000003
Pressure = -11757.788434
Step reduced to 0.005
New scale = 1.0450000000000004
==============================
Iteration 4
Current scale = 1.0450000000000004
Pressure = -503.380320
Converged!
Now running full trajectory...
Completed!
==============================
Wrote /data/qhong7/qhong7/sluschi_auto/37b963d5-ddfe-4f48-8c68-44d41a287d75/ZrO2/Dir_lammps/summary.csv
Wrote /data/qhong7/qhong7/sluschi_auto/37b963d5-ddfe-4f48-8c68-44d41a287d75/ZrO2/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 = 9742.52 K
====================================
jobs_to_run.out Jobs completed
=== running MPFit ===
Melting temperature and std error: 2859.9890240000004 9730.9874365114774
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: 1.0450000000000004
==============================
Iteration 1
Current scale = 1.0450000000000004
Pressure = 25068.098500
New scale = 1.0550000000000004
==============================
Iteration 2
Current scale = 1.0550000000000004
Pressure = 12786.087980
New scale = 1.0650000000000004
==============================
Iteration 3
Current scale = 1.0650000000000004
Pressure = 9599.676270
New scale = 1.0750000000000004
==============================
Iteration 4
Current scale = 1.0750000000000004
Pressure = -1153.544870
Converged!
Now running full trajectory...
Completed!
==============================
Wrote /data/qhong7/qhong7/sluschi_auto/37b963d5-ddfe-4f48-8c68-44d41a287d75/ZrO2/Dir_lammps/summary.csv
Wrote /data/qhong7/qhong7/sluschi_auto/37b963d5-ddfe-4f48-8c68-44d41a287d75/ZrO2/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 = 14281.49 K
====================================
jobs_to_run.out Jobs completed
=== running MPFit ===
Melting temperature and std error: 2891.4451080000003 14266.634324703957
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: 1.0450000000000004
==============================
Iteration 1
Current scale = 1.0450000000000004
Pressure = 25040.651030
New scale = 1.0550000000000004
==============================
Iteration 2
Current scale = 1.0550000000000004
Pressure = -3382.492330
Converged!
Now running full trajectory...
Completed!
==============================
Wrote /data/qhong7/qhong7/sluschi_auto/37b963d5-ddfe-4f48-8c68-44d41a287d75/ZrO2/Dir_lammps/summary.csv
Wrote /data/qhong7/qhong7/sluschi_auto/37b963d5-ddfe-4f48-8c68-44d41a287d75/ZrO2/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 = 14383.67 K
====================================
jobs_to_run.out Jobs completed
=== running MPFit ===
Melting temperature and std error: 2889.2136659999996 14421.340763666103
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: 1.0450000000000004
==============================
Iteration 1
Current scale = 1.0450000000000004
Pressure = -2837.469990
Converged!
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: 1.0450000000000004
==============================
Iteration 1
Current scale = 1.0450000000000004
Pressure = 9744.745470
New scale = 1.0550000000000004
==============================
Iteration 2
Current scale = 1.0550000000000004
Pressure = -18201.506100
Step reduced to 0.005
New scale = 1.0500000000000005
==============================
Iteration 3
Current scale = 1.0500000000000005
Pressure = -432.299300
Converged!
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: 1.0500000000000005
==============================
Iteration 1
Current scale = 1.0500000000000005
Pressure = -8781.758470
Step reduced to 0.005
New scale = 1.0450000000000006
==============================
Iteration 2
Current scale = 1.0450000000000006
Pressure = 3857.027700
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: 1.0550000000000004
==============================
Iteration 1
Current scale = 1.0550000000000004
Pressure = -2129.082179
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: 1.0550000000000004
==============================
Iteration 1
Current scale = 1.0550000000000004
Pressure = 5666.724970
New scale = 1.0650000000000004
==============================
Iteration 2
Current scale = 1.0650000000000004
Pressure = -4342.241250
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: 1.0650000000000004
==============================
Iteration 1
Current scale = 1.0650000000000004
Pressure = -6408.526069
Step reduced to 0.005
New scale = 1.0600000000000005
==============================
Iteration 2
Current scale = 1.0600000000000005
Pressure = -11249.968920
New scale = 1.0550000000000006
==============================
Iteration 3
Current scale = 1.0550000000000006
Pressure = 5772.267880
Step reduced to 0.0025
New scale = 1.0575000000000006
==============================
Iteration 4
Current scale = 1.0575000000000006
Pressure = 1705.517055
Converged!
Now running full trajectory...
Completed!
==============================
Wrote /data/qhong7/qhong7/sluschi_auto/37b963d5-ddfe-4f48-8c68-44d41a287d75/ZrO2/Dir_lammps/summary.csv
Wrote /data/qhong7/qhong7/sluschi_auto/37b963d5-ddfe-4f48-8c68-44d41a287d75/ZrO2/Dir_lammps/summary.out
Collected 13 folders
Wrote phase_pred.csv
Label counts:
solid = 8
liquid = 5
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 | 4 | 0 | 4
3200 | 0 | 4 | 4
3600 | 0 | 1 | 1
---------------------------------------------
====================================
Melting Point Fit (MPFit)
====================================
Tm = 2997.56 K
Uncertainty = 106.86 K
====================================
jobs_to_run.out Jobs completed
=== running MPFit ===
Melting temperature and std error: 2997.3436485827992 106.70484681455513
500 1 0 1
1000 1 0 1
1500 1 0 1
2000 1 0 1
2800 4 0 4
3200 0 4 4
3600 0 1 1
current fit
1 2997.3436485827992 106.70484681455513
possibilities:
current fit
0 2997.3436485827992 106.70484681455513
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 -9.413180 0.130488 1014.197427 11.975886 -1519.426460 -0.00000050 down 1.480e-07
1500/1 -9.335224 0.191223 1486.243320 12.225876 1075.547663 -0.00000028 down 1.160e-07 P1 (1)
2000/1 -9.247768 0.257250 1999.431305 12.484402 1137.338570 -0.00000136 down 2.530e-07 P1 (1)
2800/1 -9.056891 0.358853 2789.119385 13.258785 -6524.535325 0.00000142 up 1.320e-06 P1 (1)
2800/2 -9.060724 0.364223 2830.855890 13.257778 -1556.756791 0.00000188 up 4.830e-08 P1 (1)
2800/3 -9.048718 0.356409 2770.128120 13.159538 3252.599455 0.00000041 up 2.310e-08 P1 (1)
2800/4 -9.048818 0.359642 2795.251845 13.232522 671.125186 -0.00000048 down 1.400e-07 P1 (1)
3200/1 -8.895010 0.404029 3140.244810 13.937848 42790.273000 0.00001538 up 3.010e-05 P1 (1)
3200/2 -8.905040 0.411115 3195.314215 13.936437 34251.855660 0.00001275 up 3.310e-05 P1 (1)
3200/3 -8.872553 0.409451 3182.382825 14.591317 35946.520100 0.00000644 up 5.310e-05 P1 (1)
3200/4 -8.901549 0.410384 3189.633840 13.968725 37118.404050 0.00000957 up 1.420e-05 P1 (1)
3600/1 -8.777208 0.462271 3592.919145 15.723476 20140.505565 0.00000353 up 8.400e-05 P1 (1)
500/1 -9.481554 0.064898 504.410914 11.736042 -37.561950 -0.00000030 down 8.600e-09 Fm-3m (225)
======================================================================================================================================================
Wrote /data/qhong7/qhong7/sluschi_auto/37b963d5-ddfe-4f48-8c68-44d41a287d75/ZrO2/Dir_lammps/summary.csv
Wrote /data/qhong7/qhong7/sluschi_auto/37b963d5-ddfe-4f48-8c68-44d41a287d75/ZrO2/Dir_lammps/summary.out
Collected 13 folders
Wrote phase_pred.csv
Label counts:
solid = 8
liquid = 5
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 | 4 | 0 | 4
3200 | 0 | 4 | 4
3600 | 0 | 1 | 1
---------------------------------------------
====================================
Melting Point Fit (MPFit)
====================================
Tm = 2997.10 K
Uncertainty = 106.74 K
====================================
Wrote /data/qhong7/qhong7/sluschi_auto/37b963d5-ddfe-4f48-8c68-44d41a287d75/ZrO2/Dir_lammps/cost_table.out
Collected 52 log files
====================================
Computational cost summary:
Number of trajectories (temp/id) = 13
Total log files (incl. subruns) = 52
Total wall time = 10:33:18
Total seconds = 37998
Total GPU hours = 10.55
====================================
=== DFT corrections begin ===
=== PBE correction ===
N rows with PBE energy = 5
MT_LMP = 2997.0951171353518
STD_LMP = 106.74027576723364
SOLID (PBE present only):
lammps_poteng_eV_per_atom = -9.04625405
PBE_energy_eV_per_atom = -9.05788055
LIQUID (PBE present only):
lammps_poteng_eV_per_atom = -8.86719120
PBE_energy_eV_per_atom = -8.88193843
DH_LMP_raw_PBE = 0.17906285 eV/atom
DH_LMP_PBE = 0.17906285 eV/atom
DH_PBE = 0.17594212 eV/atom
DH_raw_PBE = 0.17594212 eV/atom
MT_PBE = 2944.86144604 K
=== R2SCAN correction ===
N rows with R2SCAN energy = 0
MT_LMP = 2997.0951171353518
STD_LMP = 106.74027576723364
SOLID (R2SCAN present only):
lammps_poteng_eV_per_atom = N/A
R2SCAN_energy_eV_per_atom = N/A
LIQUID (R2SCAN present only):
lammps_poteng_eV_per_atom = N/A
R2SCAN_energy_eV_per_atom = N/A
DH_LMP_raw_R2SCAN = N/A
DH_LMP_R2SCAN = N/A
DH_R2SCAN = N/A
MT_R2SCAN = N/A
=== DFT corrections end ===
Zr1 O2 1.0 3.1170647400000000 0.0000000000000000 1.7996376999999999 1.0390222499999999 2.9387967600000002 1.7996376999999999 -0.0000000000000000 -0.0000000000000000 3.5992764199999998 Zr O 1 2 direct 0.0000000000000000 0.0000000000000000 0.0000000000000000 Zr 0.2500000000000000 0.2500000000000000 0.2500000000000000 O 0.7500000000000000 0.7500000000000000 0.7500000000000000 O
No output files have been received yet.