Properties of nanomaterials

Introduction

This research topic is integrated into the CINaM’s themes by dealing with the synthesis and properties of nanometric materials such as nanoparticles, aggregates, nanotubes and molecules, in interaction with their environment.

A first research direction concerns the modelling of material kinetics, and more particularly the selective synthesis of carbon nanotubes.

A second research direction consists in modelling and characterizing the structure, morphology and chemical order (phase diagrams) of metallic alloy nanoparticles or “Nanoalloys” in relation to their properties in catalysis, plasmonics and magnetism.

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

Visualizing screening in noble-metal clusters: static vs. dynamic

Rajarshi Sinha-Roy, Pablo García-González, Xóchitl López-Lozano, Hans-Christian Weissker

Physical Chemistry Chemical Physics 25:2075-2083 (2023)10.1039/D2CP04316E

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

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

Dynamic instability of individual carbon nanotube growth revealed by in situ homodyne polarization microscopy

Vladimir Pimonov, Huy-Nam Tran, Léonard Monniello, Saïd Tahir, Thierry Michel, Renaud Podor, Michaël Odorico, Christophe Bichara, Vincent Jourdain

Nano Letters (2021)10.1021/acs.nanolett.1c03431

Uncertainty and anharmonicity in thermally activated dynamics

T D Swinburne

Computational Materials Science 193:110256 (2021)10.1016/j.commatsci.2020.110256