MA MSci PhD MInstP FHEA
Dec 2016-present Associate Professor, School of Engineering, University of Warwick
2014-2016 Assistant Professor, School of Engineering, University of Warwick
2009-2014 Postdoc in the Department of Physics at King's College London
2007-2008 Postdoc in the Department of Engineering at the University of Cambridge
2004-2007 PhD in the TCM Group at the Cavendish Laboratory, University of Cambridge
No funded positions are currently available.
- Jan 2017 Psi-k scientific highlight on the Atomic Simulation Environment published
- Dec 2016 Postdoc position available from March 2017 in partnership with NOMAD Centre of Excellence
- Nov 2016 Postdoc position available from March 2017 as part of EPSRC First Grant
- Nov 2016 PhD position available for Sept 2017 with Diamond Science and Technology CDT
- July 2016 EPSRC First Grant Predictive Modelling of the Fundamentals of Failure in Metals funded
- April 2016 Article on using preconditioning to speed up geometry optimisation published in J. Chem. Phys.
I develop multiscale materials modelling algorithms and the software that implements them. My recent work applies this parameter-free modelling to make quantitative predictions of "chemomechanical" materials failure processes where stress and chemistry are tightly coupled, e.g. near the tip of a propagating crack (left), where local bond-breaking chemistry is driven by long-range stress fields. Recents projects include:
- F. Bianchini, J.R. Kermode, and A. De Vita, Modelling defects in Ni–Al with EAM and DFT calculations, Modell. Simul. Mater. Sci. Eng. 24, 045012 (2016) [Open Access]
- D. Packwood, J. R. Kermode, L. Mones, N. Bernstein, J. Woolley, N. Gould, C. Ortner, and G. Csányi, A universal preconditioner for simulating condensed phase materials, J. Chem. Phys. 144, 164109 (2016).
[arXiv] [Open Access]
- M. Aldegunde, J. R. Kermode, and N. Zabaras, Development of an exchange–correlation functional with uncertainty quantification capabilities for density functional theory, J. Comput. Phys. 311, 173 (2016).
- J. R. Kermode, A. Gleizer, G. Kovel, L. Pastewka, G. Csányi, D. Sherman, and A. De Vita, Low Speed Crack Propagation via Kink Formation and Advance on the Silicon (110) Cleavage Plane, Phys. Rev. Lett. 115, 135501 (2015) [Open Access]
- Z. Li, J. R. Kermode, and A. De Vita, Molecular Dynamics with On-the-Fly Machine Learning of Quantum-Mechanical Forces, Phys. Rev. Lett. 114, 096405 (2015) [Open Access]
- E. Bitzek, J. R. Kermode and P. Gumbsch, Atomistic aspects of fracture, Int. J. Fract. 191, 13-30 (2015)
- A. Gleizer, G. Peralta, J. R. Kermode, A. De Vita and D. Sherman, Dissociative Chemisorption of O2 Inducing Stress Corrosion Cracking in Silicon Crystals. Phys. Rev. Lett. 112, 115501 (2014).
- J.R. Kermode, L. Ben-Bashat, F. Atrash, J.J. Cilliers, D. Sherman and A. De Vita, Macroscopic scattering of cracks initiated at single impurity atoms. Nat. Commun. 4, 2441 (2013).
- N. Bernstein, J. R. Kermode and G. Csányi, Hybrid atomistic simulation methods for materials systems. Rep. Prog. Phys. 72, 026501 (2009).
- J. R. Kermode, T. Albaret, D. Sherman, N. Bernstein, P. Gumbsch, M. C. Payne, G. Csányi and A. De Vita, Low speed fracture instabilities in a brittle crystal, Nature 455, 1224-1227 (2008).
See also my full Publications page, my Talks page, and my profiles on ResearcherID, Google Scholar and the Warwick Research Archive Portal. My PhD Thesis is available from the University of Cambridge's repository.
- My EPSRC First Grant Predictive Modelling of the Fundamentals of Failure in Metals (Aug 2016 - July 2018) has the overarching aim of developing new models to enable continuum-scale modelling of failure processes, in particular crack growth, by incorporating pre-computed first-principles information.
- The Novel Materials Discovery (NoMaD) laboratory, funded under the Horizon 2020 Centre of Excellence initiative, will enable access to the huge amount of data routinely produced by computational materials science calculations through the online NoMaD repository. I am a senior researcher within the project, which is led by the Fritz Haber Institute and involves a consortium of 11 organisations throughout Europe.
- SiO2 Fracture: Chemomechanics with a Machine-Learning Hybrid QM/MM Scheme - project allocated 126 million core hours in 2016 on the Mira machine at the Argonne Leadership Computer Facility under the US DoE's INCITE programme to investigate stress corrosion cracking in silica (right). Co-investigators are Alessandro De Vita (King's) and Anatole von Lilienfeld (Basel).
- Multiscale Atomistic Simulation of the Mechanical Behaviour of Nickel-based Superalloys. Project allocated 20 million core hours at the Cineca and Jülich supercomputer centres. Other project members are Federico Bianchini, Alessio Comisso and Alessandro De Vita (all at King's).
- Hydrogen Embrittlement of Steels - I am an external associate of this EPSRC Programme Grant involving Oxford, Cambridge, Imperial, King's and Sheffield.
- I’m one of the authors of the libAtoms/QUIP molecular dynamics framework, available from our public github repository, and licensed under the GNU GPLv2.
- quippy package, a Python interface to the libatoms/QUIP framework.
- matscipy, a Python software library for computational materials science developed with Lars Pastewka.
- f90wrap, a utility for wrapping Fortran 95 code to make it accessible from Python, including support for derived types.
- Other software is available from my GitHub page, including an enhanced version of the AtomEye atomistic visualisation software which can read Extended XYZ (.xyz) and NetCDF (.nc) files (Note: the extended XYZ format is now also supported by OVITO and ASE).
- Noam Bernstein (Naval Research Laboratory, Washington DC, USA)
- Gábor Csányi (Cambridge, UK)
- Alessandro De Vita (King's College London, UK)
- Peter Gumbsch (Fraunhofer IWM, Germany)
- Gianpietro Moras (Fraunhofer IWM, Germany)
- Lars Pastewka (Karlsruhe IAM, Germany)
- Mike Payne (Cambridge, UK)
- Dov Sherman (Technion Institute, Israel)
for Predictive Modelling
School of Engineering
University of Warwick
Phone: +44 (0) 24 765 28614