======================================================================================================= 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 -10.569342870000000 0.0000000000000000 10.569345869999999 0.0000000000000000 10.568803800000001 0.0000000000000000 0.0000000000000000 |a|,|b|,|c|,theta(bc),theta(ac),theta(ab): 10.569 10.569 10.569 90.000 90.000 90.000 In UNIT-cell, number of atoms: 1 3 total: 4 Inverse Matrix is: 0.0000000000000000 -0.0000000000000000 9.4618087242758733E-002 0.0000000000000000 9.4613234565291054E-002 -0.0000000000000000 -9.4613261420291125E-002 0.0000000000000000 0.0000000000000000 In SUPER-cell, number of atoms: 27 81 total: 108 POSCAR_STRCT atoms = 108 Accepted radius = 11 with 108 atoms ==================================================================================================== /data/qhong7/qhong7/sluschi_auto/1d86dea0-34ab-4629-b575-8ed4417c018b/AlNi3/Dir_lammps ['Al', 'Ni'] elements: ['Al', 'Ni'] counts: [27, 81] 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 = 13237.177980 New scale = 1.01 ============================== Iteration 2 Current scale = 1.01 Pressure = -30885.924000 Step reduced to 0.005 New scale = 1.0050000000000001 ============================== Iteration 3 Current scale = 1.0050000000000001 Pressure = -9548.369750 New scale = 1.0000000000000002 ============================== Iteration 4 Current scale = 1.0000000000000002 Pressure = 13237.203400 Step reduced to 0.0025 New scale = 1.0025000000000002 ============================== Iteration 5 Current scale = 1.0025000000000002 Pressure = 1929.983372 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 = 33472.895600 New scale = 1.0125000000000002 ============================== Iteration 2 Current scale = 1.0125000000000002 Pressure = -12897.943400 Step reduced to 0.005 New scale = 1.0075000000000003 ============================== Iteration 3 Current scale = 1.0075000000000003 Pressure = 8825.542840 Step reduced to 0.0025 New scale = 1.0100000000000002 ============================== Iteration 4 Current scale = 1.0100000000000002 Pressure = -2503.657797 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: 1.0100000000000002 ============================== Iteration 1 Current scale = 1.0100000000000002 Pressure = 33122.777100 New scale = 1.0200000000000002 ============================== Iteration 2 Current scale = 1.0200000000000002 Pressure = -8612.339275 Step reduced to 0.005 New scale = 1.0150000000000003 ============================== Iteration 3 Current scale = 1.0150000000000003 Pressure = 11122.917550 Step reduced to 0.0025 New scale = 1.0175000000000003 ============================== Iteration 4 Current scale = 1.0175000000000003 Pressure = 855.926139 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: 1.0175000000000003 ============================== Iteration 1 Current scale = 1.0175000000000003 Pressure = 43536.340500 New scale = 1.0275000000000003 ============================== Iteration 2 Current scale = 1.0275000000000003 Pressure = 8444.886960 New scale = 1.0375000000000003 ============================== Iteration 3 Current scale = 1.0375000000000003 Pressure = -19751.062900 Step reduced to 0.005 New scale = 1.0325000000000004 ============================== Iteration 4 Current scale = 1.0325000000000004 Pressure = -6017.929052 New scale = 1.0275000000000005 ============================== Iteration 5 Current scale = 1.0275000000000005 Pressure = 8476.322560 Step reduced to 0.0025 New scale = 1.0300000000000005 Now running full trajectory... Completed! ============================== 500, 500, 1 Adaptive temp step = 100 500 Wrote /data/qhong7/qhong7/sluschi_auto/1d86dea0-34ab-4629-b575-8ed4417c018b/AlNi3/Dir_lammps/summary.csv Wrote /data/qhong7/qhong7/sluschi_auto/1d86dea0-34ab-4629-b575-8ed4417c018b/AlNi3/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 = 6616.71 K ==================================== jobs_to_run.out Jobs completed === running MPFit === Melting temperature and std error: 2044.9288524999999 6606.6142072112780 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: 1.0300000000000005 ============================== Iteration 1 Current scale = 1.0300000000000005 Pressure = 82420.851800 New scale = 1.0400000000000005 ============================== Iteration 2 Current scale = 1.0400000000000005 Pressure = 51394.857900 New scale = 1.0500000000000005 ============================== Iteration 3 Current scale = 1.0500000000000005 Pressure = 21766.285130 New scale = 1.0600000000000005 ============================== Iteration 4 Current scale = 1.0600000000000005 Pressure = -767.263260 Converged! Now running full trajectory... Completed! ============================== Wrote /data/qhong7/qhong7/sluschi_auto/1d86dea0-34ab-4629-b575-8ed4417c018b/AlNi3/Dir_lammps/summary.csv Wrote /data/qhong7/qhong7/sluschi_auto/1d86dea0-34ab-4629-b575-8ed4417c018b/AlNi3/Dir_lammps/summary.out Collected 5 folders Wrote phase_pred.csv Label counts: solid = 4 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 | 0 | 1 | 1 --------------------------------------------- ==================================== Melting Point Fit (MPFit) ==================================== Tm = 2050.41 K Uncertainty = 10822.40 K ==================================== jobs_to_run.out Jobs completed === running MPFit === Melting temperature and std error: 2050.4090095999995 10807.934472766434 500 1 0 1 1000 1 0 1 1500 1 0 1 2000 1 0 1 2800 0 1 1 === Find next job to run === 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: 1.0300000000000005 ============================== Iteration 1 Current scale = 1.0300000000000005 Pressure = 31968.705490 New scale = 1.0400000000000005 ============================== Iteration 2 Current scale = 1.0400000000000005 Pressure = 6267.686191 New scale = 1.0500000000000005 ============================== Iteration 3 Current scale = 1.0500000000000005 Pressure = -15210.928190 Step reduced to 0.005 New scale = 1.0450000000000006 ============================== Iteration 4 Current scale = 1.0450000000000006 Pressure = -5203.488885 New scale = 1.0400000000000007 ============================== Iteration 5 Current scale = 1.0400000000000007 Pressure = 6570.382260 Step reduced to 0.0025 New scale = 1.0425000000000006 Now running full trajectory... Completed! ============================== Wrote /data/qhong7/qhong7/sluschi_auto/1d86dea0-34ab-4629-b575-8ed4417c018b/AlNi3/Dir_lammps/summary.csv Wrote /data/qhong7/qhong7/sluschi_auto/1d86dea0-34ab-4629-b575-8ed4417c018b/AlNi3/Dir_lammps/summary.out Collected 6 folders Wrote phase_pred.csv Label counts: solid = 4 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 2400 | 0 | 1 | 1 2800 | 0 | 1 | 1 --------------------------------------------- ==================================== Melting Point Fit (MPFit) ==================================== Tm = 2049.89 K Uncertainty = 10859.75 K ==================================== jobs_to_run.out Jobs completed === running MPFit === Melting temperature and std error: 2049.8939384000000 10858.723791232456 500 1 0 1 1000 1 0 1 1500 1 0 1 2000 1 0 1 2400 0 1 1 2800 0 1 1 === Find next job to run === next job: 4 MD duplicate(s) at 2000.0000000000000 K next job: 4 MD duplicate(s) at 2400.0000000000000 K 2000, 2000, 4 Adaptive temp step = 100 2000 Start running job (temp, id) 2000 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: 1.0300000000000005 ============================== Iteration 1 Current scale = 1.0300000000000005 Pressure = -1609.712582 Converged! Now running full trajectory... Completed! ============================== Start running job (temp, id) 2000 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: 1.0300000000000005 ============================== Iteration 1 Current scale = 1.0300000000000005 Pressure = -7684.743336 Step reduced to 0.005 New scale = 1.0250000000000006 ============================== Iteration 2 Current scale = 1.0250000000000006 Pressure = 10334.670584 Step reduced to 0.0025 New scale = 1.0275000000000005 ============================== Iteration 3 Current scale = 1.0275000000000005 Pressure = 1406.401060 Converged! Now running full trajectory... Completed! ============================== Start running job (temp, id) 2000 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: 1.0275000000000005 ============================== Iteration 1 Current scale = 1.0275000000000005 Pressure = -4545.764025 Converged! Now running full trajectory... Completed! ============================== 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: 1.0425000000000006 ============================== Iteration 1 Current scale = 1.0425000000000006 Pressure = 11107.725993 New scale = 1.0525000000000007 ============================== Iteration 2 Current scale = 1.0525000000000007 Pressure = -16869.803980 Step reduced to 0.005 New scale = 1.0475000000000008 ============================== Iteration 3 Current scale = 1.0475000000000008 Pressure = -10044.740010 New scale = 1.0425000000000009 ============================== Iteration 4 Current scale = 1.0425000000000009 Pressure = 10076.363384 Step reduced to 0.0025 New scale = 1.0450000000000008 ============================== Iteration 5 Current scale = 1.0450000000000008 Pressure = -2285.725168 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: 1.0450000000000008 ============================== Iteration 1 Current scale = 1.0450000000000008 Pressure = -4177.805451 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: 1.0450000000000008 ============================== Iteration 1 Current scale = 1.0450000000000008 Pressure = -3162.984899 Converged! Now running full trajectory... Completed! ============================== Wrote /data/qhong7/qhong7/sluschi_auto/1d86dea0-34ab-4629-b575-8ed4417c018b/AlNi3/Dir_lammps/summary.csv Wrote /data/qhong7/qhong7/sluschi_auto/1d86dea0-34ab-4629-b575-8ed4417c018b/AlNi3/Dir_lammps/summary.out Collected 12 folders Wrote phase_pred.csv Label counts: solid = 7 liquid = 5 Wrote jobs_results.out --------------------------------------------- Temp | Solid | Liquid | Total --------------------------------------------- 500 | 1 | 0 | 1 1000 | 1 | 0 | 1 1500 | 1 | 0 | 1 2000 | 4 | 0 | 4 2400 | 0 | 4 | 4 2800 | 0 | 1 | 1 --------------------------------------------- ==================================== Melting Point Fit (MPFit) ==================================== Tm = 2197.35 K Uncertainty = 107.77 K ==================================== jobs_to_run.out Jobs completed === running MPFit === Melting temperature and std error: 2197.7885329542123 107.87957595374026 500 1 0 1 1000 1 0 1 1500 1 0 1 2000 4 0 4 2400 0 4 4 2800 0 1 1 current fit 1 2197.7885329542123 107.87957595374026 possibilities: current fit 0 2197.7885329542123 107.87957595374026 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 -5.359443 0.130559 1014.747847 11.687242 -1270.470113 -0.00000015 down 6.420e-09 P1 (1) 1500/1 -5.276380 0.192665 1497.454080 11.974598 -529.818709 0.00000029 up 1.050e-08 P1 (1) 2000/1 -5.172990 0.254947 1981.532590 12.332425 2085.459821 -0.00000114 down 5.350e-09 2000/2 -5.181805 0.255998 1989.697450 12.301952 3491.784322 -0.00000147 down 5.210e-09 P1 (1) 2000/3 -5.179641 0.256744 1995.497555 12.342988 -799.062417 0.00000083 up 8.730e-09 P1 (1) 2000/4 -5.178544 0.255954 1989.353840 12.345430 -1262.297826 0.00000244 up 1.990e-07 P1 (1) 2400/1 -4.830322 0.309373 2404.545110 13.986718 -13665.289080 0.00001339 up 4.040e-05 P1 (1) 2400/2 -4.832536 0.307783 2392.188680 13.908261 -9494.370521 0.00001299 up 8.360e-05 P1 (1) 2400/3 -4.833434 0.308094 2394.604995 13.929378 -12377.292460 0.00001087 up 7.470e-05 P1 (1) 2400/4 -4.827690 0.303476 2358.715300 13.898163 -6955.408979 0.00001351 up 8.760e-05 P1 (1) 2800/1 -4.759273 0.357687 2780.057225 14.281232 -5479.068457 0.00000949 up 8.930e-05 P1 (1) 500/1 -5.429447 0.064310 499.841683 11.432974 -542.660622 -0.00000001 down 4.120e-09 Pm-3m (221) ====================================================================================================================================================== Wrote /data/qhong7/qhong7/sluschi_auto/1d86dea0-34ab-4629-b575-8ed4417c018b/AlNi3/Dir_lammps/summary.csv Wrote /data/qhong7/qhong7/sluschi_auto/1d86dea0-34ab-4629-b575-8ed4417c018b/AlNi3/Dir_lammps/summary.out Collected 12 folders Wrote phase_pred.csv Label counts: solid = 7 liquid = 5 Wrote jobs_results.out --------------------------------------------- Temp | Solid | Liquid | Total --------------------------------------------- 500 | 1 | 0 | 1 1000 | 1 | 0 | 1 1500 | 1 | 0 | 1 2000 | 4 | 0 | 4 2400 | 0 | 4 | 4 2800 | 0 | 1 | 1 --------------------------------------------- ==================================== Melting Point Fit (MPFit) ==================================== Tm = 2197.41 K Uncertainty = 107.41 K ==================================== Wrote /data/qhong7/qhong7/sluschi_auto/1d86dea0-34ab-4629-b575-8ed4417c018b/AlNi3/Dir_lammps/cost_table.out Collected 51 log files ==================================== Computational cost summary: Number of trajectories (temp/id) = 12 Total log files (incl. subruns) = 51 Total wall time = 11:44:21 Total seconds = 42261 Total GPU hours = 11.74 ==================================== === PBE correction === N rows with PBE energy = 8 MT_LMP = 2197.408960014067 STD_LMP = 107.41071576500161 SOLID (PBE present only): lammps_poteng_eV_per_atom = -5.17662280 PBE_energy_eV_per_atom = -5.21499143 LIQUID (PBE present only): lammps_poteng_eV_per_atom = -4.82357708 PBE_energy_eV_per_atom = -4.89404080 DH_LMP_raw_PBE = 0.35304572 eV/atom DH_LMP_PBE = 0.28231392 eV/atom DH_PBE = 0.25021883 eV/atom Cp_solid_PBE = 1.68307708e-04 eV/atom/K Cp_liquid_PBE = 1.85351273e-04 eV/atom/K Cp_avg_PBE = 1.76829491e-04 eV/atom/K DeltaT_PBE = 400.00 K DH_raw_PBE = 0.32095063 eV/atom MT_PBE = 1947.59473510 K