amkrajewski / MPDD-X

[playing around for now] One stop solution for getting material properties with ML models while contributing to a community database.
MIT License
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pySIPFENN-ALIGNN-CHGNet #12

Open amkrajewski opened 7 months ago

github-actions[bot] commented 7 months ago

Hello @amkrajewski! Please comment below on this issue while attaching a ZIP file with atomic structures (POSCAR/CIFs) to get started! You can put keywords describing it in the body of the comment.

amkrajewski commented 7 months ago

28output_poscar.zip

github-actions[bot] commented 7 months ago

👍 [1/3] I found a ZIP file linked in your comment. I will now attempt to download it and validate contents.

github-actions[bot] commented 7 months ago

👍 [2/3] I received your files and extracted them! Now, I will set up the calculation environment and run: pySIPFENN, CHGNet, and ALIGNN. You can now have A coffee and wait for results. This should take a couple of minutes to return.

github-actions[bot] commented 7 months ago

😢 Something went wrong at the CHGNet calculation step...

amkrajewski commented 7 months ago

28output_poscar.zip

github-actions[bot] commented 7 months ago

👍 [1/3] I found a ZIP file linked in your comment. I will now attempt to download it and validate contents.

github-actions[bot] commented 7 months ago

👍 [2/3] I received your files and extracted them! Now, I will set up the calculation environment and run: pySIPFENN, CHGNet, and ALIGNN. You can now have A coffee and wait for results. This should take a couple of minutes to return.

github-actions[bot] commented 7 months ago

😢 Something went wrong at the CHGNet calculation step...

amkrajewski commented 7 months ago

28output_poscar.zip

github-actions[bot] commented 7 months ago

👍 [1/3] I found a ZIP file linked in your comment. I will now attempt to download it and validate contents.

github-actions[bot] commented 7 months ago

👍 [2/3] I received your files and extracted them! Now, I will set up the calculation environment and run: pySIPFENN, CHGNet, and ALIGNN. You can now have A coffee and wait for results. This should take a couple of minutes to return.

github-actions[bot] commented 7 months ago

🚀 [3/3] All Done! Obtained results are in the table below:

pySIPFENN: name SIPFENN_NN30-OQMD [eV/atom]
POS1.POSCAR -2.1795
POS2.POSCAR -2.1757
POS3.POSCAR -2.1721
POS4.POSCAR -2.1617
POS5.POSCAR -2.1617
POS6.POSCAR -2.1971
POS7.POSCAR -2.1565
POS8.POSCAR -2.162
POS9.POSCAR -2.1971
POS10.POSCAR -2.1795
POS11.POSCAR -2.1617
POS12.POSCAR -2.1971
POS13.POSCAR -2.1947
POS14.POSCAR -2.1971
POS15.POSCAR -2.2337
POS16.POSCAR -2.1923
ALIGNN: name ALIGNN-JARVIS Formation Energy [eV/atom] ALIGNN-JARVIS MBJ Bandgap [eV] ALIGNN-JARVIS Shear Modulus [GPa] ALIGNN-JARVIS Bulk Modulus [GPa] ALIGNN-JARVIS Exfoliation Energy [meV/atom] ALIGNN-MP Formation Energy [eV/atom] ALIGNN-MP PBE Bandgap [eV]
POS1.POSCAR -1.6943 5.7403 105.4842 190.9032 75.7562 -1.3171 2.5678
POS2.POSCAR -1.7022 5.7204 105.1507 190.241 67.2143 -1.3326 2.5193
POS3.POSCAR -1.6948 5.7173 104.9161 190.2089 68.8701 -1.3202 2.4758
POS4.POSCAR -1.7103 5.7212 107.0084 192.76 69.53 -1.3459 2.5426
POS5.POSCAR -1.7082 5.7756 104.9222 190.1892 72.7455 -1.3681 2.6568
POS6.POSCAR -1.7267 5.7661 104.7497 190.6456 74.6281 -1.3558 2.6357
POS7.POSCAR -1.7023 5.8206 104.9592 189.77 74.6987 -1.3364 2.5778
POS8.POSCAR -1.7024 5.785 104.595 189.9404 75.0354 -1.3142 2.5446
POS9.POSCAR -1.7229 5.8222 106.8579 191.6246 72.7231 -1.3527 2.631
POS10.POSCAR -1.6899 5.7499 105.8795 191.4178 75.3754 -1.3092 2.5622
POS11.POSCAR -1.7156 5.9501 107.5848 192.3704 77.9746 -1.3595 2.6407
POS12.POSCAR -1.7315 5.7704 106.1748 191.5511 75.0115 -1.3392 2.6168
POS13.POSCAR -1.7246 5.7627 105.8529 189.8681 69.2647 -1.3406 2.6045
POS14.POSCAR -1.7298 5.7718 105.4134 190.3587 72.2469 -1.3643 2.6818
POS15.POSCAR -1.7493 5.758 104.9614 190.8326 74.3743 -1.351 2.6596
POS16.POSCAR -1.7335 5.8112 105.5416 190.675 70.1058 -1.3653 2.6319

CHGNet:

Please note that these are energies, not formation energies. Name CHGNet_0.3.0-MP Energy [eV/atom] CHGNet_0.3.0-MP Relaxed Energy [eV/atom]
POS1.POSCAR -4.8025 -6.4985
POS2.POSCAR -4.7989 -6.4752
POS3.POSCAR -4.7968 -6.4717
POS4.POSCAR -4.8027 -6.5373
POS5.POSCAR -4.8017 -6.4655
POS6.POSCAR -4.8398 -6.4744
POS7.POSCAR -4.8039 -6.487
POS8.POSCAR -4.8002 -6.4897
POS9.POSCAR -4.8406 -6.5061
POS10.POSCAR -4.8026 -6.4983
POS11.POSCAR -4.803 -6.5373
POS12.POSCAR -4.8405 -6.5062
POS13.POSCAR -4.8366 -6.4595
POS14.POSCAR -4.8398 -6.4743
POS15.POSCAR -4.879 -6.5094
POS16.POSCAR -4.8393 -6.4742

For the next 30 days, you can also download other results like pySIPFENN's raw descriptor data Numpy array and CHGNet-relaxed structure files under Artifact tab here Enjoy!