TD Swinburne (Tom)

Using computers to explore the atomic structure of materials

CNRS     CINaM

me 18-:  CNRS researcher, CINaM
17-18:  Postdoc, T-1, LANL
15-17:  EuroFusion fellow, CCFE
11-15:  PhD, Imperial College London

Curriculum Vitae

The design of more durable materials is key to reduce the carbon emissions of construction, transportation and energy production. To achieve this requires an understanding of mechanical strength and toughness at the level of jiggling atoms.

We design theoretical and numerical tools to discover the atomic mechanisms by which solid materials bend and break. As the range of possibilities is practically infinite, the challenge is to find the most influential, then characterize these accurately. A particular focus is designing autonomous methods that harness massively parallel computers to rapidly search configurational space. This requires the development of statistical uncertainty measures, coarse-grained modelling tools and data-efficient machine learning approaches.

A better idea of our research interests can be found in our publications and open source software.

  News

  Recent Publications


= corresponding author(s)

  Team

  • Petr Grigorev
  • (2020-23) Postdoc, uncertainty-driven exploration of defective materials within the ANR MEMOPAS project (PI: TDS).

  • Clovis Lapointe
  • (2018-22) PhD Student, machine learning techniques for point defects. Co-supervised with Cosmin Marinica, CEA Saclay.

  • Raynol Dsouza (External Supervision, MPIE Dusseldorf)
  • (2018-22) PhD Student, mean field bond models for anharmonic lattice vibrations (under Prof. Joerg Neugebauer)

  • Deepti Kannan (External Supervision, University of Cambridge)
  • (2020-21) MSc Student, Coarse graining techniques for Markov Models (under Prof. David Wales)

      Funding


    anr

  • ANR MeMoPas (2020-2022)
  • PI on ANR JCJC project, Mesoscale models from massively parallel atomistic simulations: uncertainty driven, self-optimizing strategies for hard materials

    EuroFusion

  • EuroFusion / IREMEV program
  • Computational resources (2020-2021) for studies of timescale estimation of microstructural evolution

    genci

  • GENCI / IDRIS national supercomputing centers
  • Computational resources (2019-2020,2020-2021) for high-throughput studies of defect diffusion mechanisms

      Job Openings

    If you are interested in masters projects at AMU, or are considering an independent funding application, please email me.

    We currently have no open contracts, but are always open to applications from motivated postdocs or PhD candidates. Please email me to discuss funding possibilities.

      Some Presentations

  • Kink limited motion of line defects: multiscale simulation and analysis
  • Applied analysis seminar, Imperial College London, February 2019 (Invited)
    Slides   

  • Kink limited Orowan strengthening and the brittle to ductile transition of bcc metals
  • Oxford MFFP Meeting, September 2018 (Invited)
    Slides   

  • Uncertainty-driven construction of Markov models from accelerated molecular dynamics
  • Advances in Computational Statistical Physics, CIRM, France, September 2018 (Invited)
    Slides   

  • Fast, vacancy-free climb of dislocation loops in bcc metals
  • NUMAT conference, Montpellier, France, 2016
    Slides   

  • Multiscale analysis of nonlinear dislocation models
  • MMM conference, Berkeley, USA, 2014
    Slides   

      Contact

       swinburne cinam "." univ-mrs "." fr


       CINaM, Campus de Luminy, 13288 Marseille, FRANCE