8 citations · 22 across the 13 of their papers we have counts for
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cs.CE2024
Multimodal Language and Graph Learning of Adsorption Configuration in Catalysis
Janghoon Ock, Srivathsan Badrinarayanan, Rishikesh Magar +2
Adsorption energy is a reactivity descriptor that must be accurately predicted for effective machine learning (ML) application in catalyst screening. This process involves determin…
cs.CE2023★ 1 cited
Catalyst Property Prediction with CatBERTa: Unveiling Feature Exploration Strategies through Large Language Models
Janghoon Ock, Chakradhar Guntuboina, Amir Barati Farimani
Efficient catalyst screening necessitates predictive models for adsorption energy, a key property of reactivity. However, prevailing methods, notably graph neural networks (GNNs),…