Adeesh Kolluru
Publications by Year
Research Areas
Machine Learning in Materials Science, Topic Modeling, Catalytic Processes in Materials Science, Electrocatalysts for Energy Conversion, Protein Structure and Dynamics
Most-Cited Works
- → The Open Catalyst 2022 (OC22) Dataset and Challenges for Oxide Electrocatalysts(2023)268 cited
- → Open Challenges in Developing Generalizable Large-Scale Machine-Learning Models for Catalyst Discovery(2022)64 cited
- → Rotation Invariant Graph Neural Networks using Spin Convolutions(2021)51 cited
- → Spherical Channels for Modeling Atomic Interactions(2022)36 cited
- → Transfer learning using attentions across atomic systems with graph neural networks (TAAG)(2022)33 cited
- → From Molecules to Materials: Pre-training Large Generalizable Models for Atomic Property Prediction(2023)21 cited
- → Materials cartography: A forward-looking perspective on materials representation and devising better maps(2023)11 cited
- → Investigating the error imbalance of large-scale machine learning potentials in catalysis(2024)7 cited
- → Spin-informed universal graph neural networks for simulating magnetic ordering(2025)4 cited