activity
20162026
most citedAbsorption kinetics of vacancies by cavities in Aluminum: numerical characterization of sink strengths and first-passage statistics through Krylov subspace projection and eigenvalue deflation

3 citations · 3 across the 3 of their papers we have counts for

collaborators

5 papers

cond-mat.mtrl-sci2026

Systematic and accurate anharmonic formation free energies of metastable defects via a constrained Bayesian Adaptive Biasing Force framework

Clovis Lapointe, Anruo Zhong, Manuel Athènes +1

Computing the formation free energies of metastable defects at finite temperature remains challenging due to anharmonicity, the multiplicity of basins and the frequent occurrence o…

cond-mat.mtrl-sci2021★ 3 cited

Absorption kinetics of vacancies by cavities in Aluminum: numerical characterization of sink strengths and first-passage statistics through Krylov subspace projection and eigenvalue deflation

Savneet Kaur, Manuel Athènes, Jérôme Creuze

Modeling the microstructural evolution of metal and alloys, specifically under irradiation, is essential to predict the aging properties of materials. Many models are based on a tr…

cond-mat.mtrl-sci2021

Mass transport computations via correlation splitting and a law of total diffusion

Manuel Athènes, Gilles Adjanor, Jérôme Creuze

Directly computing mass transport coefficients in stochastic models requires integrating over time the equilibrium correlations between atomic displacements. Here, we show how to a…

cond-mat.mtrl-sci2016

Cluster dynamics modelling of materials: a new hybrid deterministic/stochastic coupling approach

Pierre Terrier, Manuel Athènes, Thomas Jourdan +2

Deterministic simulations of the rate equations governing cluster dynamics in materials are limited by the number of equations to integrate. Stochastic simulations are limited by t…

cond-mat.stat-mech2016

Estimating thermodynamic expectations and free energies in expanded ensemble simulations: systematic variance reduction through conditioning

Manuel Athènes, Pierre Terrier

Markov chain Monte Carlo methods are primarily used for sampling from a given probability distribution and estimating multi-dimensional integrals based on the information contained…