Tristan Maxson
0000-0002-7668-8986
Publication & Citation Trends
Publications
0 total
(Invited) Training Accurate and Physically Meaningful Machine Learning Force Fields for Water
Cited by 0
Semantic Scholar
Temporal Resolution of In Situ TEM Limits the Characterization of Catalyst Site Dynamics
Cited by 2
Semantic Scholar
MS25: Materials Science-Focused Benchmark Data Set for Machine Learning Interatomic Potentials
Cited by 5
Semantic Scholar
Enhancing the Quality and Reliability of Machine Learning Interatomic Potentials through Better Reporting Practices OA
Cited by 21
Semantic Scholar
Transferable Water Potentials Using Equivariant Neural Networks. OA
Cited by 26
Semantic Scholar
Probe the Dynamic Adsorption and Phase Transition of Underpotential Deposition Processes at Electrode-Electrolyte Interfaces.
Cited by 0
Semantic Scholar
Selective Vapor-Phase Formation of Dimethylformamide via Oxidative Coupling of Methanol and Dimethylamine over Bimetallic Catalysts
Cited by 2
Semantic Scholar
GPAW: An open Python package for electronic structure calculations. OA
Cited by 206
Semantic Scholar
Research Topics
Catalytic Processes in Materials Science
(8)
Machine Learning in Materials Science
(8)
Electrocatalysts for Energy Conversion
(5)
Advanced Chemical Physics Studies
(3)
Crystallography and molecular interactions
(3)
Affiliations
University of Alabama
Ball State University
Purdue University West Lafayette