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Tristan Maxson
Tristan Maxson
Chemical Engineering
Verified email at crimson.ua.edu
Title
Cited by
Cited by
Year
The atomic simulation environment—a Python library for working with atoms
AH Larsen, JJ Mortensen, J Blomqvist, IE Castelli, R Christensen, ...
Journal of Physics: Condensed Matter 29 (27), 273002, 2017
31952017
Tunable intrinsic strain in two-dimensional transition metal electrocatalysts
L Wang, Z Zeng, W Gao, T Maxson, D Raciti, M Giroux, X Pan, C Wang, ...
Science 363 (6429), 870-874, 2019
4042019
Graph theory approach to determine configurations of multidentate and high coverage adsorbates for heterogeneous catalysis
S Deshpande, T Maxson, J Greeley
npj Computational Materials 6 (1), 2020
422020
Diversity and uniformity in anion-π complexes of thiocyanate with the aromatic, olefinic and quinoidal π-acceptors.
J Wilson, T Maxson, I Wright, M Zeller, S Rosokha
Dalton Transactions, 2020
192020
Halogen Bonding Between Anions: Association of Anion Radicals of Tetraiodo‐p‐benzoquinone with Iodide Anions
T Maxson, AS Jalilov, M Zeller, SV Rosokha
Angewandte Chemie International Edition 59 (39), 17197-17201, 2020
122020
GPAW: open Python package for electronic-structure calculations
JJ Mortensen, AH Larsen, M Kuisma, AV Ivanov, A Taghizadeh, ...
arXiv preprint arXiv:2310.14776, 2023
52023
Transferable Water Potentials Using Equivariant Neural Networks
T Maxson, T Szilvasi
arXiv preprint arXiv:2402.16204, 2024
12024
Probe the Dynamic Adsorption and Phase Transition of Underpotential Deposition Processes at Electrode–Electrolyte Interfaces
KH Chen, F Fathi, T Maxson, M Hossain, E Khisamutdinov, T Szilvási, ...
Langmuir, 2024
2024
Enhancing the Quality and Reliability of Machine Learning Interatomic Potentials through Better Reporting Practices
T Maxson, A Soyemi, BWJ Chen, T Szilvási
arXiv preprint arXiv:2401.02284, 2024
2024
Selective vapor-phase formation of dimethylformamide via oxidative coupling of methanol and dimethylamine over bimetallic catalysts
AP Minne, T Maxson, T Szilvási, JW Harris
Catalysis Science & Technology, 2024
2024
Training Accurate and Physically Meaningful Machine Learning Force Fields for Water and Understanding Their Transferability
T Maxson, T Szilvasi
2023 AIChE Annual Meeting, 2023
2023
Developing Physically Meaningful and Accurate Machine Learning Interatomic Potentials for Catalysis
T Maxson, A Soyemi, T Szilvasi
2023 AIChE Annual Meeting, 2023
2023
Benchmark Simulation of Ag Nanoparticles on Supported Graphene Substrates
T Maxson, T Szilvasi
2023 AIChE Annual Meeting, 2023
2023
GPAW: open Python package for electronic-structure calculations
J Jřrgen Mortensen, A Hjorth Larsen, M Kuisma, AV Ivanov, ...
arXiv e-prints, arXiv: 2310.14776, 2023
2023
Unraveling the in-Situ Structural Transformations on Single Crystalline IrO2 (110) Surface during Oxygen Evolution Reaction
A Morankar, T Maxson, Z Zeng, J Greeley
The 28th North American Catalysis Society Meeting, 2023
2023
Transferability of water interactions in machine learning force fields
T Maxson, T Szilvasi
2023 ACS Spring Meeting, 2023
2023
Exploring the effects of doping on the photocatalysis by transition metal tungstates
T Maxson, Z Li, T Zubkov
ACS Spring Meeting 2021, 2021
2021
Synthesis, Characterization, and Electronic Structure Calculations of Doped Period 4 Metal Tungstates and Their Activity Towards Photodegradation of Methylene Blue
TG Maxson
Ball State University, 2021
2021
Graph theory-based method for estimating complex adsorbate configurations on model catalytic surfaces
J Greeley, T Maxson
American Chemical Society SciMeetings 1 (2), 2020
2020
Self-Driven Strain Tuning in Transition Metal Nanocrystals for the Oxygen Reduction Reaction
L Wang, Z Zeng, W Gao, T Maxson, D Raciti, M Giroux, X Pan, C Wang, ...
Electrochemical Society Meeting Abstracts aimes2018, 1579-1579, 2018
2018
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Articles 1–20