John L. A. Gardner

Statistics

Publications

Citations

380

H-Index

Active since

2023

Affiliations

University of Oxford(Current)

Federal Institute For Materials Research and Testing

Friedrich Schiller University Jena

John L. A. Gardner is an author at University of Oxford specializing in machine-learned interatomic potentials, atomistic simulation, and natural sciences.

ORCID

Publications per year

2023–2025

Publications

A foundation model for atomistic materials chemistry

Ilyes Batatia, Philipp Benner, Yuan Chiang et al. · The Journal of Chemical Physics · 2025 · 187 citations · Full text

Natural Sciences, Chemistry, Physics +17

How to validate machine-learned interatomic potentials

Joe D. Morrow, John L. A. Gardner, Volker L. Deringer · The Journal of Chemical Physics · 2023 · 116 citations · Full text

Natural Sciences, Materials Science, Physics +17

Synthetic pre-training for neural-network interatomic potentials

John L. A. Gardner, Kathryn T. Baker, Volker L. Deringer · Machine Learning Science and Technology · 2023 · 24 citations · Full text

Natural Sciences, Chemistry, Physics +15

Data as the next challenge in atomistic machine learning

Chiheb Ben Mahmoud, John L. A. Gardner, Volker L. Deringer · Nature Computational Science · 2024 · 20 citations

Computing, Computer Science, Physics +11

An automated framework for exploring and learning potential-energy surfaces

Yuanbin Liu, Joe D. Morrow, Christina Ertural et al. · Nature Communications · 2025 · 17 citations · Full text

Natural Sciences, Materials Science, Physics +17

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