activity
20102024
most citedMulti-center decomposition of molecular densities: a mathematical perspective

11 citations · 21 across the 12 of their papers we have counts for

collaborators

15 papers

physics.chem-ph2024★ 4 cited

Multi-center decomposition of molecular densities: A numerical perspective

YingXing Cheng, Eric Cancès, Virginie Ehrlacher +2

In this study, we analyze various Iterative Stockholder Analysis (ISA) methods for molecular density partitioning, focusing on the numerical performance of the recently proposed Li…

math.AP2023

Embedded corrector problems for homogenization in linear elasticity

Virginie Ehrlacher, Frederic Legoll, Benjamin Stamm +1

In this article, we extend the study of embedded corrector problems, that we have previously introduced in the context of the homogenization of scalar diffusive equations, to the c…

math.NA2021★ 11 cited

Multi-center decomposition of molecular densities: a mathematical perspective

Robert Benda, Eric Cancès, Virginie Ehrlacher +1

The aim of this paper is to analyze from a mathematical perspective some existing schemes to partition a molecular density into several atomic contributions, with a specific focus…

math.NA2021

Influence of sampling on the convergence rates of greedy algorithms for parameter-dependent random variables

Mohamed-Raed Blel, Virginie Ehrlacher, Tony Lelièvre

The main focus of this article is to provide a mathematical study of the algorithm proposed in \cite{boyaval2010variance} where the authors proposed a variance reduction technique…

math.PR2020

Adaptive force biasing algorithms: new convergence results and tensor approximations of the bias

Virginie Ehrlacher, Tony Lelièvre, Pierre Monmarché

A modification of the Adaptive Biasing Force method is introduced, in which the free energy is approximated by a sum of tensor products of one-dimensional functions. This enables t…

math.NA2018★ 2 cited

An embedded corrector problem for homogenization. Part II: Algorithms and discretization

Eric Cancès, Virginie Ehrlacher, Frederic Legoll +2

This contribution is the numerically oriented companion article of the work [E. Cancès, V. Ehrlacher, F. Legoll, B. Stamm and S. Xiang, arxiv preprint 1807.05131]. We focus here on…