Noushin Omidvar
Virginia Tech(US)
Publications by Year
Research Areas
Machine Learning in Materials Science, Electrocatalysts for Energy Conversion, Catalytic Processes in Materials Science, Computational Drug Discovery Methods, Fuel Cells and Related Materials
Most-Cited Works
- → Interpretable design of Ir-free trimetallic electrocatalysts for ammonia oxidation with graph neural networks(2023)118 cited
- → Machine-Learning Energy Gaps of Porphyrins with Molecular Graph Representations(2018)57 cited
- → Interpretable Machine Learning of Chemical Bonding at Solid Surfaces(2021)45 cited
- → Coordination numbers for unraveling intrinsic size effects in gold-catalyzed CO oxidation(2018)30 cited
- → Overcoming Site Heterogeneity In Search of Metal Nanocatalysts(2018)21 cited
- → In vitroosteogenic induction of human marrow‐derived mesenchymal stem cells by PCL fibrous scaffolds containing dexamethazone‐loaded chitosan microspheres(2016)20 cited
- → Unraveling Reactivity Origin of Oxygen Reduction at High-Entropy Alloy Electrocatalysts with a Computational and Data-Driven Approach(2024)18 cited
- → Explainable AI for optimizing oxygen reduction on Pt monolayer core–shell catalysts(2024)7 cited
- → Author Correction: Interpretable design of Ir-free trimetallic electrocatalysts for ammonia oxidation with graph neural networks(2023)5 cited
- → Algorithm-derived feature representations for explainable AI in catalysis(2021)2 cited