======================================================================================================= 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