H. Pillai

发表

Identification of Active Sites for Ammonia Electrosynthesis on Ruthenium

P. Banerjee, Xiaofeng Feng, Lin Hu, 2022, ACS Energy Letters.

Bayesian Learning of Chemisorption for Bridging Complexities of Electronic Descriptors

H. Xin, Siwen Wang, H. Pillai, 2020 .

High-performance ammonia oxidation catalysts for anion-exchange membrane direct ammonia fuel cells

H. Xin, Juan-Yu Yang, Yushan Yan, 2021, Energy & Environmental Science.

Ternary PtIrNi Catalysts for Efficient Electrochemical Ammonia Oxidation

H. Xin, Juan-Yu Yang, Yi Li, 2020 .

New Insights into Electrochemical Ammonia Oxidation on Pt(100) from First Principles

H. Xin, H. Pillai, 2019, Industrial & Engineering Chemistry Research.

Infusing theory into deep learning for interpretable reactivity prediction

Luke E. K. Achenie, H. Xin, Siwen Wang, 2021, Nature Communications.

Bayesian learning of chemisorption for bridging the complexity of electronic descriptors

H. Xin, Siwen Wang, H. Pillai, 2020, Nature Communications.

Bridging the complexity gap in computational heterogeneous catalysis with machine learning

Siwen Wang, Neil M. Schweitzer, Fanglin Che, 2023, Nature Catalysis.

Breaking adsorption-energy scaling limitations of electrocatalytic nitrate reduction on intermetallic CuPd nanocubes by machine-learned insights

Shikai Liu, H. Xin, Hua Zhou, 2022, Nature Communications.

Interpretable Machine Learning of Chemical Bonding at Solid Surfaces.

Luke E. K. Achenie, H. Xin, Siwen Wang, 2021, The journal of physical chemistry letters.

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

Luke E. K. Achenie, F. Abild‐Pedersen, Yi Li, 2023, Nature Communications.

Publisher Correction: Synthesis of core/shell nanocrystals with ordered intermetallic single-atom alloy layers for nitrate electroreduction to ammonia

Huiyuan Zhu, Sen Zhang, W. Zang, 2023, Nature Synthesis.

Synthesis of core/shell nanocrystals with ordered intermetallic single-atom alloy layers for nitrate electroreduction to ammonia

Qian He, Lu Ma, Huiyuan Zhu, 2023, Nature Synthesis.

Infusing Theory into Machine Learning for Interpretable Reactivity Prediction

Luke E. K. Achenie, H. Xin, Siwen Wang, 2021 .

Atomic Layers of B2 CuPd on Cu Nanocubes as Catalysts for Selective Hydrogenation.

Qian He, Lu Ma, Huiyuan Zhu, 2023, Journal of the American Chemical Society.