Matériaux complexes pour l’énergie

Présentation

Matériaux complexes pour l’énergie

Nous visons à modéliser les propriétés thermiques et mécaniques des matériaux d’usage dans le domaine des énergies, de structure atomique et chimique en général complexe (alliages multi composants présentant des phases variées tant du point de vue cristallographique, que chimique ou magnétique, alliages à haute entropie, …), qui sont amenés à travailler sous des sollicitations extérieures parfois agressives (température, pression, irradiation) et sur des temps longs (vieillissement des aciers).
Ces propriétés sont essentiellement pilotées par la diffusion combinée des éléments chimiques et des défauts cristallins, dont la modélisation est encore impossible par le seul recours aux calculs ab initio.

Théorie et simulation numérique 2

Publications

2025

Exploring parameter dependence of atomic minima with implicit differentiation

Ivan Maliyov, Petr Grigorev, T D Swinburne

npj Computational Materials 11:22 (2025)10.1038/s41524-024-01506-0

Parameter uncertainties for imperfect surrogate models in the low-noise regime

Thomas Swinburne, Danny Perez

Machine Learning: Science and Technology 6:015008 (2025)10.1088/2632-2153/ad9fce

2024

Size and shape effects on chemical ordering in Ni–Pt nanoalloys

Pamela Camilos, Céline Varvenne, Christine Mottet

Physical Chemistry Chemical Physics 26:15192-15204 (2024)10.1039/D4CP00979G

Insights on the capabilities and improvement ability of classical many-body potentials: Application to α -zirconium

Alessandra del Masto, Jean Baccou, Guy Tréglia, Fabienne Ribeiro, Céline Varvenne

Computational Materials Science 231:112544 (2024)10.1016/j.commatsci.2023.112544

Pressure and temperature diagram of C60 from atomistic simulations

Karim Hakim, Romain Dupuis, Christophe Bichara, R.-J.-M. Pellenq

The Journal of Chemical Physics 161 (2024)10.1063/5.0213022

Dynamics of growing carbon nanotube interfaces probed by machine learning-enabled molecular simulations

Daniel Hedman, Ben Mclean, Christophe Bichara, Shigeo Maruyama, J. Andreas Larsson, Feng Ding

Nature Communications 15:4076 (2024)10.1038/s41467-024-47999-7

Dynamics of growing carbon nanotube interfaces probed by machine learningenabled molecular simulations

Daniel Hedman, Ben Mclean, Christophe Bichara, Shigeo Maruyama, J. Andreas Larsson, Feng Ding

Nature Communications 15:4076 (2024)10.1038/s41467-024-47999-7

Reply to Lee and Elliott: Changes of bonding upon crystallization in phase change materials

Jean-Yves Raty, Christophe Bichara, Carl-Friedrich Schön, Carlo Gatti, Matthias Wuttig

Proceedings of the National Academy of Sciences of the United States of America 121 (2024)10.1073/pnas.2405294121

Tailoring chemical bonds to design unconventional glasses

Jean-Yves Raty, Christophe Bichara, Carl-Friedrich Schön, Carlo Gatti, Matthias Wuttig

Proceedings of the National Academy of Sciences of the United States of America 121 (2024)10.1073/pnas.2316498121

2023

Composition-dependent chemical ordering predicted in Pt–Ag nanoalloys

Alexis Front, Christine Mottet

Physical Chemistry Chemical Physics 25:8386-8391 (2023)10.1039/d2cp05829d

Swinging Crystal Edge of Growing Carbon Nanotubes

Georg Daniel Förster, Vladimir Pimonov, Huy-Nam Tran, Saïd Tahir, Vincent Jourdain, Christophe Bichara

ACS Nano 17:7135-7144 (2023)10.1021/acsnano.2c07388

Compact A15 Frank-Kasper nano-phases at the origin of dislocation loops in face-centred cubic metals

Alexandra Goryaeva, Christophe Domain, Alain Chartier, Alexandre Dézaphie, Thomas Swinburne, Kan Ma, Marie Loyer-Prost, Jérôme Creuze, Mihai-Cosmin Marinica

Nature Communications 14:3003 (2023)10.1038/s41467-023-38729-6

Calculation of dislocation binding to helium-vacancy defects in tungsten using hybrid ab initio-machine learning methods

Petr Grigorev, Alexandra Goryaeva, Mihai-Cosmin Marinica, James Kermode, Thomas Swinburne

Acta Materialia 247:118734 (2023)10.1016/j.actamat.2023.118734

Temperature dependent stacking fault free energy profiles and partial dislocation separation in FCC Cu

Reza Namakian, Dorel Moldovan, Thomas Swinburne

Computational Materials Science 218:111971 (2023)10.1016/j.commatsci.2022.111971

2022

Capabilities and limits of autoencoders for extracting collective variables in atomistic materials science

Jacopo Baima, Alexandra Goryaeva, Thomas Swinburne, Jean-Bernard Maillet, Maylise Nastar, Mihai-Cosmin Marinica

Physical Chemistry Chemical Physics https://doi.org/10.1039/D2CP01917E (2022)10.1039/D2CP01917E

Melting properties of Ag x Pt 1− x nanoparticles

Alexis Front, Djahid Oucheriah, Christine Mottet, Hakim Amara

Faraday Discussions (2022)10.1039/d2fd00116k

Trends of chemical ordering in Pt-based nanoalloys

Alexis Front, Christine Mottet

Theoretical Chemistry Accounts: Theory, Computation, and Modeling 141:2 (2022)10.1007/s00214-021-02861-7

Optically Triggered Néel Vector Manipulation of a Metallic Antiferromagnet Mn2Au under Strain

Vladimir Grigorev, Mariia Filianina, Yaryna Lytvynenko, Sergei Sobolev, Amrit Raj Pokharel, Amon Lanz, Alexey Sapozhnik, Stanisalv Bodnar, Armin Kleibert, Petr Grigorev, Yurii Skourski, Mathias Kläui, Hans-Joachim Elmers, Martin Jourdan, Jure Demsar

ACS Nano (2022)10.1021/acsnano.2c07453

Reaction–drift–diffusion models from master equations: application to material defects

Thomas Swinburne, Danny Perez

Modelling and Simulation in Materials Science and Engineering 30:034004 (2022)10.1088/1361-651X/ac54c5

2021

Ordering Frustration in Large-Scale Co–Pt Nanoalloys

Alexis Front, Christine Mottet

Journal of Physical Chemistry C 125:16358-16365 (2021)10.1021/acs.jpcc.1c05701

Stress effect on segregation and ordering in Pt–Ag nanoalloys

Alexis Front, Christine Mottet

Journal of Physics: Condensed Matter 33:154006 (2021)10.1088/1361-648X/abe07a

Efficient and transferable machine learning potentials for the simulation of crystal defects in bcc Fe and W

Alexandra Goryaeva, Julien Dérès, Clovis Lapointe, Petr Grigorev, T D Swinburne, James Kermode, Lisa Ventelon, Jacopo Baima, Mihai-Cosmin Marinica

Physical Review Materials 5:103803 (2021)10.1103/PhysRevMaterials.5.103803

Accelerated molecular dynamics simulations of dislocation climb in nickel

T D Swinburne, Lauren Fey, Anne Marie Z. Tan, Thomas Swinburne, Danny Perez, Dallas Trinkle

Physical Review Materials 5 (2021)10.1103/PhysRevMaterials.5.083603