Objects
Li, Xinyu, Chiong, Raymond, Hu, Zhongyi, Page, Alister J.. Elsevier; 2023. A graph neural network model with local environment pooling for predicting adsorption energies.
Li, Xinyu, Chiong, Raymond, Hu, Zhongyi, Cornforth, David, Page, Alister J.. American Chemical Society; 2019. Improved representations of heterogeneous carbon reforming catalysis using machine learning.
Li, Xinyu, Chiong, Raymond, Page, Alister J.. American Chemical Society; 2021. Group and period-based representations for improved machine learning prediction of heterogeneous alloy catalysts.
Li, Xinyu, Chiong, Raymond, Hu, Zhongyi, Page, Alister J.. American Chemical Society (ACS); 2021. Low-Cost Pt Alloys for Heterogeneous Catalysis Predicted by Density Functional Theory and Active Learning.
Li, Xinyu, Shi, Javen Qinfeng, Page, Alister J.. American Chemical Society; 2023. Discovery of Graphene Growth Alloy Catalysts Using High-Throughput Machine Learning.
Li, Xinyu. Heterogeneous catalyst discovery for renewable energy applications using machine learning. 2022.