publications
2023
- A graph neural network model with local environment pooling for predicting adsorption energiesComputational and Theoretical Chemistry, 2023
- C2+ Selectivity for CO2 Electroreduction on Oxidized Cu-Based CatalystsJournal of the American Chemical Society, 2023
- A Computational Approach for Mapping Electrochemical Activity of Multi-Principal Element Alloysnpj Materials Degradation, 2023
- Active-Learning Accelerated Computational Screening of A2B@NG Catalysts for CO2 Electrochemical ReductionNano Energy, 2023
- Discovery of Graphene Growth Alloy Catalysts Using High-Throughput Machine LearningNano Letters, 2023
- Hydrogen bonding in perovskite solar cellsMatter, 2023
2021
- Group and period-based representations for improved machine learning prediction of heterogeneous alloy catalystsThe Journal of Physical Chemistry Letters, 2021
- Low-cost Pt alloys for heterogeneous catalysis predicted by density functional theory and active learningThe Journal of Physical Chemistry Letters, 2021
2019
- Improved representations of heterogeneous carbon reforming catalysis using machine learningJournal of chemical theory and computation, 2019
2017
- Graphene foam decorated with ceria microspheres as a flexible cathode for foldable lithium-air batteriesChemCatChem, 2017
- Oxygen reduction on zirconium-stabilized-PdO surfaces: a first-principles studyRSC advances, 2017
- First-principles study of the initial oxygen reduction reaction on stoichiometric and reduced CeO 2 (111) surfaces as a cathode catalyst for lithium–oxygen batteriesJournal of Materials Chemistry A, 2017
2016
- In-situ growth of CeO2 nanoparticles on N-doped reduced graphene oxide for anchoring Li2O2 formation in lithium-oxygen batteriesElectrochimica Acta, 2016