TD Swinburne


CNRS   CINaM

Designing more durable materials is key to reduce carbon emissions of construction, transportation and energy production. This requires understanding mechanical strength and toughness at the level of jiggling atoms.

We design atomic simulation methods to discover how metals bend and break.

The range of atomic deformation mechanisms is vast- the challenge is to discover and characterize the most influential. A short summary is below; for more detail please see our publications and open source software.

  News

  Recent Publications


= corresponding author(s). Full list at Google Scholar.

  Team

  • Tom Swinburne
  • me 10/18-:  CNRS researcher, CINaM
    04/17-06/18:  Postdoc, T-1, LANL
    03/15-03/17:  EuroFusion fellow, CCFE
    10/11-03/15:  MSc+PhD, Imperial College London
    Curriculum Vitae
  • Ivan Maliyov
  • Petr Grigorev 23-24:  Postdoc, automatic differentiation in materials science
    CNRS grant PARDIFF (PI: TDS)
    Personal Website
  • Raynol Dsouza
  • 10/23-04/24:  SALTO CNRS/MPG mobility grant scholar
    Doctoral student (20-24) under Prof J Neugebauer, MPIE Dusseldorf

      Past Members

  • Petr Grigorev
  • Petr Grigorev 20-24:  Postdoc, Machine learning assisted DFT methods
    ANR grant MEMOPAS (20-22, PI: TDS)
    PTC grant ANEMONE (22-24, PIs: TDS & L Ventelon, CEA Saclay)
    Personal Website
  • Reza Namakian
  • 03/22-03/23:  PhD collaborator, anharmonic effects in plasticity, under Prof D Moldovan, Louisiana State University, USA
  • Clovis Lapointe
  • 18-22:  PhD, Machine learning defect entropics. With Dr MC Marinica, CEA Saclay
    now: Postdoc, U Lorraine
  • Deepti Kannan
  • 20-21:  MSc, reducing Markov Chains. With Prof DJ Wales, Cambridge.
    now: PhD, MIT

      Main Collaborators

  • Prof David Wales FRS, Univ. Cambridge, UK
  • Analysis and convergence of highly metastable systems; Markov models
    e.g.
    JCTC 2020 PyGT
  • Dr Mihai-Cosmin Marinica, SRMP, CEA Saclay, FR
  • Linear machine learning models, free energy calculation
    e.g.
    PRMat 2020 PRL 2018 PAFI
  • Dr Danny Perez, T-1, Los Alamos, USA
  • Massively parallel sampling of metastable systems
    e.g.
    NPJ Comp. Mat 2020 TAMMBER
  • Prof James Kermode, Univ. Warwick, UK
  • Hybrid DFT/empirical methods
    e.g.
    PRB 2017 arXiv 2021/2 LML-retrain
  • Prof Jörg Neugebauer, Max Planck für Eisenforschung, DE
  • Mean field models for anharmonic lattice vibrations
    PRB RC 2020 BLaSa

      Software

  • PAFI- Projected Average Force Integrator
  • Anharmonic free energy barrier evaluations using in LAMMPS/MPI/C++   
    Physical Review Letters 2018   

    Works using PAFI (more coming soon...)
    Y Sato et al., D Rodney MRL (2021)   
    R Namakian et al. Computational Material Science (2022, accepted)   



  • TAMMBER- Temperature Accelerated Markov Models, Bayesian Estimation of Rates
  • Massively parallel, autonmous exploration of atomic systems   
    Physical Review Materials 2018  
    TDS and D Perez, NPJ Computational Materials (2020)   

    Works using TAMMBER (more coming soon...)
    K Ferasat et al., Materialia (2021)   



  • PyGT- Graph Transformation in Python
  • Stable analysis of metastable Markov chains     
    J Chem. Th. Comp. 2020 

    Works using PyGT (more coming soon...)
    TDS et al. JCP (2020)  
    D Kannan et al. JCP (2020)  
    E Woods et al. Proc. Roy. Soc. (2022, accepted)  



  • BLaSa- Bond Lattice Sampling and Analytics
  • Execution and analysis of bond lattice dynamics  
    Physical Review B Rapid Communications 2020  

    Works using BLaSa (coming soon!)
    PhD of Raynol Dsouza (MPIE Dusseldorf)

      Funding


    anr
  • ANR DAPREDIS (2024-2028)
  • PI on ANR PRC project, Data-Driven Prediction of Dislocation Plasticity

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


    anr
  • CEA PTC ANEMONE (2022-2024)
  • Co-PI with Dr L Ventelon, CEA Saclay, developing ML-assisted DFT for ab initio accuracy in large scale simulations of extended defects.


    EuroFusion
  • EuroFusion / IREMEV program (2020-present)
  • PI on IREMEV grant to study timescale estimation of microstructural evolution


    genci
  • GENCI / IDRIS national supercomputing centers
  • Computational resources (2019-2023) for multiple studies of defect diffusion and plasticity mechanisms

      Job Openings

    ANR PRD DAPREDIS (2024-28)
    We will soon (late 2024) be hiring a postdoc (Marseille) and PhD (Paris) to investigate data-driven representations of dislocation phenomena, at the atomic and mesoscales. There will be many opportunities for travel and collaboration with groups in the US, UK and France.
    If this sounds interesting, please email me with a CV and motivation letter.

    If you are interested in masters or docotral projects at funded by the AMU doctoral school, please email me.

      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

       thomas "." swinburne cnrs "." fr


       CINaM, Campus de Luminy, 13288 Marseille, FRANCE