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J

John L. A. Gardner

University of Oxford

6H-index
20Paper Count
285Citation Count
Published Papers 9
Publication Date
Assessing zero-shot generalisation behaviour in graph-neural-network interatomic potentials
err2025-09-30
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errOAAI
errChiheb Ben Mahmoud; Zakariya El-Machachi; Krystian A. Gierczak; John L. A. Gardner; Volker L. Deringer
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An automated framework for exploring and learning potential-energy surfaces
err2025-08-18
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errOAAI
errYuanbin Liu; Joe D. Morrow; Christina Ertural; Natascia L. Fragapane; John L. A. Gardner; Aakash A. Naik; Yuxing Zhou; Janine George; Volker L. Deringer
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Data as the next challenge in atomistic machine learning
err2024-06-12
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PREAI
errBen Mahmoud, Chiheb; Gardner, John L. A.; Deringer, Volker L.
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Synthetic pre-training for neural-network interatomic potentials
err2024-01-10
err8
errOAAI
errGardner, John L. A.; Baker, Kathryn T.; Deringer, Volker L.
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How to validate machine-learned interatomic potentials
err2023-03-24
err59
errOAAI
errMorrow, Joe D.; Gardner, John L. A.; Deringer, Volker L.
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Coarse-grained versus fully atomistic machine learning for zeolitic imidazolate frameworks
err2023-01-01
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errOAAI
errBeaulieu, Zoe Faure; Nicholas, Thomas C.; Gardner, John L. A.; Goodwin, Andrew L.; Deringer, Volker L.
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Synthetic data enable experiments in atomistic machine learning
err2023-01-01
err9
errOAAI
errGardner, John L. A.; Beaulieu, Zoe Faure; Deringer, Volker L.
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