James Kermode
Citata da
Citata da
The atomic simulation environment—a Python library for working with atoms
AH Larsen, JJ Mortensen, J Blomqvist, IE Castelli, R Christensen, ...
Journal of Physics: Condensed Matter 29 (27), 273002, 2017
Molecular dynamics with on-the-fly machine learning of quantum-mechanical forces
Z Li, JR Kermode, A De Vita
Physical review letters 114 (9), 096405, 2015
Machine learning unifies the modeling of materials and molecules
AP Bartók, S De, C Poelking, N Bernstein, JR Kermode, G Csányi, ...
Science advances 3 (12), e1701816, 2017
Low-speed fracture instabilities in a brittle crystal
JR Kermode, T Albaret, D Sherman, N Bernstein, P Gumbsch, MC Payne, ...
Nature 455 (7217), 1224-1227, 2008
Hybrid atomistic simulation methods for materials systems
N Bernstein, JR Kermode, G Csanyi
Reports on Progress in Physics 72 (2), 026501, 2009
Machine learning a general-purpose interatomic potential for silicon
AP Bartók, J Kermode, N Bernstein, G Csányi
Physical Review X 8 (4), 041048, 2018
Atomistic aspects of fracture
E Bitzek, JR Kermode, P Gumbsch
International Journal of Fracture 191 (1-2), 13-30, 2015
Understanding and mitigating hydrogen embrittlement of steels: a review of experimental, modelling and design progress from atomistic to continuum
O Barrera, D Bombac, Y Chen, TD Daff, E Galindo-Nava, P Gong, D Haley, ...
Journal of materials science 53 (9), 6251-6290, 2018
Macroscopic scattering of cracks initiated at single impurity atoms
JR Kermode, L Ben-Bashat, F Atrash, JJ Cilliers, D Sherman, A De Vita
Nature communications 4 (1), 1-8, 2013
Dissociative Chemisorption of Inducing Stress Corrosion Cracking in Silicon Crystals
A Gleizer, G Peralta, JR Kermode, A De Vita, D Sherman
Physical Review Letters 112 (11), 115501, 2014
A framework for machine‐learning‐augmented multiscale atomistic simulations on parallel supercomputers
M Caccin, Z Li, JR Kermode, A De Vita
International Journal of Quantum Chemistry 115 (16), 1129-1139, 2015
A first principles based polarizable O (N) interatomic force field for bulk silica
JR Kermode, S Cereda, P Tangney, A De Vita
The Journal of chemical physics 133 (9), 094102, 2010
Fluctuation modes of a twist-bend nematic liquid crystal
Z Parsouzi, SM Shamid, V Borshch, PK Challa, AR Baldwin, MG Tamba, ...
Physical Review X 6 (2), 021041, 2016
Development of an exchange–correlation functional with uncertainty quantification capabilities for density functional theory
M Aldegunde, JR Kermode, N Zabaras
Journal of Computational Physics 311, 173-195, 2016
A universal preconditioner for simulating condensed phase materials
D Packwood, J Kermode, L Mones, N Bernstein, J Woolley, N Gould, ...
The Journal of Chemical Physics 144 (16), 164109, 2016
In situ stable crack growth at the micron scale
G Sernicola, T Giovannini, P Patel, JR Kermode, DS Balint, TB Britton, ...
Nature communications 8 (1), 1-9, 2017
Low speed crack propagation via kink formation and advance on the silicon (110) cleavage plane
JR Kermode, A Gleizer, G Kovel, L Pastewka, G Csányi, D Sherman, ...
Physical review letters 115 (13), 135501, 2015
Accuracy of buffered-force QM/MM simulations of silica
A Peguiron, L Colombi Ciacchi, A De Vita, JR Kermode, G Moras
The Journal of chemical physics 142 (6), 064116, 2015
Modelling defects in Ni–Al with EAM and DFT calculations
F Bianchini, JR Kermode, A De Vita
Modelling and Simulation in Materials Science and Engineering 24 (4), 045012, 2016
Validity of linear elasticity in the crack-tip region of ideal brittle solids
G Singh, JR Kermode, A De Vita, RW Zimmerman
International Journal of Fracture 189 (1), 103-110, 2014
Il sistema al momento non puň eseguire l'operazione. Riprova piů tardi.
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