Pillai, H.

Authored

(521em) Interpretable Design of Multimetallic Catalysts for Ammonia Electrooxidation with Deep Learning
2023 AIChE Annual Meeting (ISBN: 978-0-8169-1120-2)
(532at) Breaking Adsorption-Energy Scaling Limitations of Electrocatalytic Nitrate Reduction Via Machine Learned Insights
2022 Annual Meeting (ISBN: 978-0-8169-1118-9)
(173aa) Cooperative Site and Electrolyte Design for Optimizing Interfacial Electrokinetics of CO2 Reduction
2022 Annual Meeting (ISBN: 978-0-8169-1118-9)
(710d) High-Performance Electrocatalytic Nitrate Reduction to Ammonia on Ordered Intermetallic Cupd Nanocubes: Breaking Adsorption-Energy Scaling Limitations
2022 Annual Meeting (ISBN: 978-0-8169-1118-9)
(426d) Discovery of Pt Trimetallic Electrocatalysts for Ammonia Oxidation with Interpretable Deep Learning
2022 Annual Meeting (ISBN: 978-0-8169-1118-9)
(532ed) Theory-Infused Neural Network for Interpretable D-Band Moments Prediction
2022 Annual Meeting (ISBN: 978-0-8169-1118-9)
(684f) Theory-Infused Neural Network for Interpretable Reactivity Prediction
2022 Annual Meeting (ISBN: 978-0-8169-1118-9)
(509cw) Accelerating Ammonia Electrooxidation Catalyst Discovery through Interpretable Machine Learning
2021 Annual Meeting (ISBN: 978-0-8169-1116-5)

Related Proceedings

2021 Annual Meeting2022 Annual Meeting2023 AIChE Annual Meeting