Pretrained models#
All config files for the OMat24 models are available in the
configs/omat24
directory.All models are equiformerV2 S2EFS models
Note in order to download any of the model checkpoints from the links below, you will need to first request access through the OMMAT24 Hugging Face page.
OMat pretrained models#
These checkpoints are trained on OMat24 only. Note that predictions are not Materials Project compatible.
Model Name |
Checkpoint |
Config |
---|---|---|
EquiformerV2-31M-OMat |
||
EquiformerV2-86M-OMat |
||
EquiformerV2-153M-OMat |
MPTrj only models#
These models are trained only on the MPTrj dataset.
Model Name |
Checkpoint |
Config |
---|---|---|
EquiformerV2-31M-MP |
||
EquiformerV2-31M-DeNS-MP |
||
EquiformerV2-86M-DeNS-MP |
||
EquiformerV2-153M-DeNS-MP |
Finetuned OMat models#
These models are finetuned from the OMat pretrained checkpoints using MPTrj or MPTrj and sub-sampled trajectories from the 3D PBE Alexandria dataset, which we call Alex.
Model Name |
Checkpoint |
Config |
---|---|---|
EquiformerV2-31M-OMat-Alex-MP |
||
EquiformerV2-86M-OMat-Alex-MP |
||
EquiformerV2-153M-OMat-Alex-MP |
Please consider citing the following work if you use OMat24 models in your work,
@article{barroso-luqueOpenMaterials20242024,
title = {Open Materials 2024 (OMat24) Inorganic Materials Dataset and Models},
author = {Barroso-Luque, Luis and Shuaibi, Muhammed and Fu, Xiang and Wood, Brandon M. and Dzamba, Misko and Gao, Meng and Rizvi, Ammar and Zitnick, C. Lawrence and Ulissi, Zachary W.},
date = {2024-10-16},
eprint = {2410.12771},
eprinttype = {arXiv},
doi = {10.48550/arXiv.2410.12771},
url = {http://arxiv.org/abs/2410.12771},
}