C2+ Selectivity for CO2 Electroreduction on Oxidized Cu-Based Catalysts H Li, Y Jiang, X Li, K Davey, Y Zheng, Y Jiao, SZ Qiao Journal of the American Chemical Society 145 (26), 14335-14344, 2023 | 52 | 2023 |
In-situ growth of CeO2 nanoparticles on N-doped reduced graphene oxide for anchoring Li2O2 formation in lithium-oxygen batteries Y Jiang, J Cheng, L Zou, X Li, Y Gong, B Chi, J Pu, J Li Electrochimica Acta 210, 712-719, 2016 | 51 | 2016 |
First-principles study of the initial oxygen reduction reaction on stoichiometric and reduced CeO 2 (111) surfaces as a cathode catalyst for lithium–oxygen batteries X Li, Z Li, X Yang, L Jia, YQ Fu, B Chi, J Pu, J Li Journal of Materials Chemistry A 5 (7), 3320-3329, 2017 | 37 | 2017 |
Graphene foam decorated with ceria microspheres as a flexible cathode for foldable lithium‐air batteries Y Jiang, J Cheng, L Zou, X Li, Y Huang, L Jia, B Chi, J Pu, J Li ChemCatChem 9 (22), 4231-4237, 2017 | 29 | 2017 |
Group and period-based representations for improved machine learning prediction of heterogeneous alloy catalysts X Li, R Chiong, AJ Page The Journal of Physical Chemistry Letters 12 (21), 5156-5162, 2021 | 27 | 2021 |
Improved representations of heterogeneous carbon reforming catalysis using machine learning X Li, R Chiong, Z Hu, D Cornforth, AJ Page Journal of chemical theory and computation 15 (12), 6882-6894, 2019 | 24 | 2019 |
Low-cost Pt alloys for heterogeneous catalysis predicted by density functional theory and active learning X Li, R Chiong, Z Hu, AJ Page The Journal of Physical Chemistry Letters 12 (30), 7305-7311, 2021 | 17 | 2021 |
Hydrogen bonding in perovskite solar cells L Lin, TW Jones, TCJ Yang, X Li, C Wu, Z Xiao, H Li, J Li, J Qian, L Lin, ... Matter 7 (1), 38-58, 2024 | 12 | 2024 |
A graph neural network model with local environment pooling for predicting adsorption energies X Li, R Chiong, Z Hu, AJ Page Computational and Theoretical Chemistry 1226, 114161, 2023 | 7 | 2023 |
Active-Learning Accelerated Computational Screening of A2B@NG Catalysts for CO2 Electrochemical Reduction X Li, H Li, Z Zhang, JQ Shi, Y Jiao, SZ Qiao Nano Energy, 108695, 2023 | 4 | 2023 |
A computational approach for mapping electrochemical activity of multi-principal element alloys JA Yuwono, X Li, TD Doležal, AJ Samin, JQ Shi, Z Li, N Birbilis npj Materials Degradation 7 (1), 87, 2023 | 3 | 2023 |
Oxygen reduction on zirconium-stabilized-PdO surfaces: a first-principles study X Yang, Z Li, X Li, A Wang, L Jia, B Chi, J Pu, J Li RSC advances 7 (65), 41057-41062, 2017 | 3 | 2017 |
Machine Learning Confirms the Formation Mechanism of a Single-Atom Catalyst via Infrared Spectroscopic Analysis Y Zhao, H Li, J Shan, Z Zhang, X Li, JQ Shi, Y Jiao, H Li The Journal of Physical Chemistry Letters 14 (49), 11058-11062, 2023 | 2 | 2023 |
Discovery of Graphene Growth Alloy Catalysts Using High-Throughput Machine Learning X Li, JQ Shi, AJ Page Nano Letters 23 (21), 9796–9802, 2023 | 2 | 2023 |
Machine Learning‐Driven Selection of Two‐Dimensional Carbon‐Based Supports for Dual‐Atom Catalysts in CO2 Electroreduction Z Tan, X Li, Y Zhao, Z Zhang, JQ Shi, H Li ChemCatChem, e202400470, 2024 | | 2024 |
Computationally guided design and synthesis of dual‐drug loaded polymeric nanoparticles for combination therapy S Jin, Z Lan, G Yang, X Li, JQ Shi, Y Liu, CX Zhao Aggregate, e606, 2024 | | 2024 |
Machine Learning Big Data Set Analysis Reveals C–C Electro-Coupling Mechanism H Li, X Li, P Wang, Z Zhang, K Davey, JQ Shi, SZ Qiao Journal of the American Chemical Society, 2024 | | 2024 |