Shih‐Han Wang

Interpretable design of Ir-free trimetallic electrocatalysts for ammonia oxidation with graph neural networks

Hemanth Somarajan Pillai, Yi Li, Shih‐Han Wang et al. · Nature Communications · 2023 · 129 citations · Full text

Natural Sciences, Chemistry, Materials Science +17

Interpretable Machine Learning for Catalytic Materials Design toward Sustainability

Hongliang Xin, Tianyou Mou, Hemanth Somarajan Pillai et al. · Accounts of Materials Research · 2023 · 52 citations · Full text

Natural Sciences, Chemistry, Computer Science +17

JARVIS-Leaderboard: a large scale benchmark of materials design methods

Kamal Choudhary, Daniel Wines, Kangming Li et al. · npj Computational Materials · 2024 · 49 citations · Full text

Natural Sciences, Materials Science, Physics +16

Interpretable Machine Learning of Chemical Bonding at Solid Surfaces

Noushin Omidvar, Hemanth Somarajan Pillai, Shih‐Han Wang et al. · The Journal of Physical Chemistry Letters · 2021 · 48 citations · Full text

Natural Sciences, Chemistry, Computer Science +17

Unraveling Reactivity Origin of Oxygen Reduction at High-Entropy Alloy Electrocatalysts with a Computational and Data-Driven Approach

Yang Huang, Shih‐Han Wang, Xiangrui Wang et al. · The Journal of Physical Chemistry C · 2024 · 24 citations · Full text

Natural Sciences, Chemistry, Materials Science +17