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researcher

John L. A. Gardner

8 papers hereh-index 6201 citations10 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author3
  • middle author5

Across the 8 of 8 papers where every author was matched, so the position is known.

fields
  • physics.chem-ph4
  • physics.comp-ph3
  • cond-mat.mtrl-sci1

identity via Semantic Scholar / OpenAlex

activity
20222025
most citedHow to validate machine-learned interatomic potentials

129 citations · 141 across the 8 of their papers we have counts for

collaborators
Showing 2023 · physics.comp-phShow all

1 paper · 2 filters

physics.comp-ph2023★ 1 cited

Synthetic pre-training for neural-network interatomic potentials

John L. A. Gardner, Kathryn T. Baker, Volker L. Deringer

Machine learning (ML) based interatomic potentials have transformed the field of atomistic materials modelling. However, ML potentials depend critically on the quality and quantity…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.