The Open Catalyst 2022 (OC22) Dataset and Challenges for Oxide Electrocatalysis. Tran, R., Lan, J., Shuaibi, M., Goyal, S., Wood, B. M., Das, A., Heras-Domingo, J., Kolluru, A., Rizvi, A., Shoghi, N., Sriram, A., Ulissi, Z., & Zitnick, C. L. arXiv, 2022.
Paper doi bibtex 5 downloads @article{https://doi.org/10.48550/arxiv.2206.08917,
doi = {10.48550/ARXIV.2206.08917},
url = {https://arxiv.org/abs/2206.08917},
author = {Tran, Richard and Lan, Janice and Shuaibi, Muhammed and Goyal, Siddharth and Wood, Brandon M. and Das, Abhishek and Heras-Domingo, Javier and Kolluru, Adeesh and Rizvi, Ammar and Shoghi, Nima and Sriram, Anuroop and Ulissi, Zachary and Zitnick, C. Lawrence},
keywords = {Materials Science (cond-mat.mtrl-sci), Machine Learning (cs.LG), Computational Physics (physics.comp-ph), FOS: Physical sciences, FOS: Physical sciences, FOS: Computer and information sciences, FOS: Computer and information sciences},
title = {The Open Catalyst 2022 (OC22) Dataset and Challenges for Oxide Electrocatalysis},
journal = {arXiv},
year = {2022},
copyright = {arXiv.org perpetual, non-exclusive license}
}
Downloads: 5
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