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researcher

T. Swinburne

24 papers hereh-index 191.2k citations72 works total

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

author position
  • sole author3
  • first author8
  • middle author9
  • last author3

Across the 23 of 24 papers where every author was matched, so the position is known.

fields
  • cond-mat.mtrl-sci15
  • physics.comp-ph4
  • cond-mat.stat-mech2
  • cond-mat.mes-hall1
  • physics.chem-ph1
  • stat.ML1

identity via Semantic Scholar / OpenAlex

activity
20122026
most citedTheory and Simulation of the diffusion of kinks on dislocations in bcc metals

74 citations · 227 across the 23 of their papers we have counts for

collaborators
Showing 2025Show all

3 papers · 1 filter

cond-mat.mtrl-sci2025

Agnostic calculation of atomic free energies with the descriptor density of states

Thomas D Swinburne, Clovis Lapointe, Mihai-Cosmin Marinica

We present a new method to evaluate vibrational free energies of atomic systems without a priori specification of an interatomic potential. Our model-agnostic approach leverages de…

cond-mat.mtrl-sci2025

Uncertainty Quantification for Misspecified Machine Learned Interatomic Potentials

Danny Perez, Aparna P. A. Subramanyam, Ivan Maliyov +1

The use of high-dimensional regression techniques from machine learning has significantly improved the quantitative accuracy of interatomic potentials. Atomic simulations can now p…

cond-mat.mtrl-sci2025

Efficient and Accurate Spatial Mixing of Machine Learned Interatomic Potentials for Materials Science

Fraser Birks, Matthew Nutter, Thomas D Swinburne +1

Machine-learned interatomic potentials can offer near first-principles accuracy but are computationally expensive, limiting their application to large-scale molecular dynamics simu…

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