Hongliang Xin

发表

Catalyst design with machine learning

Hongliang Xin, 2022, Nature Energy.

Identification of Active Sites for Ammonia Electrosynthesis on Ruthenium

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

Ambient ammonia synthesis via palladium-catalyzed electrohydrogenation of dinitrogen at low overpotential

Xiaofeng Feng, Lin Hu, Hongliang Xin, 2018, Nature Communications.

Bridging the complexity gap in computational heterogeneous catalysis with machine learning

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

Algorithm-derived feature representations for explainable AI in catalysis

Hongliang Xin, Noushin Omidvar, 2021, Trends in Chemistry.

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.

Bayesian-optimization-assisted discovery of stereoselective aluminum complexes for ring-opening polymerization of racemic lactide

Y. Liu, Rong Tong, Xiaoqian Wang, 2023, Nature communications.

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.

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.

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

Luke E. K. Achenie, Sterling G. Baird, Shuiwang Ji, 2023, npj Computational Materials.

Elucidation of site structures and CO oxidation kinetics of the Ir1/TiO2 single-atom catalyst

Hongliang Xin, Tianyou Mou, Coogan B. Thompson, 2024, Chem Catalysis.