The Open Catalyst 2022 (OC22) Dataset and Challenges for Oxide Electrocatalysts
The Open Catalyst 2022 (OC22) Dataset and Challenges for Oxide Electrocatalysts
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Author / Creator
Tran, Richard , Lan, Janice , Shuaibi, Muhammed , Wood, Brandon M , Goyal, Siddharth , Das, Abhishek , Heras-Domingo, Javier , Adeesh Kolluru , Rizvi, Ammar , Shoghi, Nima , Anuroop Sriram , Therrien, Felix , Abed, Jehad , Voznyy, Oleksandr , Sargent, Edward H , Ulissi, Zachary and Zitnick, C Lawrence
Publisher
Ithaca: Cornell University Library, arXiv.org
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English
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Ithaca: Cornell University Library, arXiv.org
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Contents
The development of machine learning models for electrocatalysts requires a broad set of training data to enable their use across a wide variety of materials. One class of materials that currently lacks sufficient training data is oxides, which are critical for the development of OER catalysts. To address this, we developed the OC22 dataset, consist...
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Full title
The Open Catalyst 2022 (OC22) Dataset and Challenges for Oxide Electrocatalysts
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TN_cdi_proquest_journals_2678578988
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2678578988
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E-ISSN
2331-8422
DOI
10.48550/arxiv.2206.08917
