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The adaptive biasing force algorithm with non-conservative forces and related topics
Work
Year: 2022
Type: article
Abstract: We propose a study of the Adaptive Biasing Force method’s robustness under generic (possibly non-conservative) forces. We first ensure the flat histogram property is satisfied in all cases. We then in... more
Source: ESAIM. Mathematical modelling and numerical analysis
Authors Tony Lelièvre, Lise Maurin, Pierre Monmarché
Institutions CERMICS, Sorbonne Université, Institut de Mathématiques de Jussieu-Paris Rive Gauche
Cites: 27
Cited by:
Related to: 10
FWCI:
Citation percentile (by year/subfield):
Topic: Probabilistic and Robust Engineering Design
Subfield: Statistics, Probability and Uncertainty
Field: Decision Sciences
Domain: Social Sciences
Sustainable Development Goal Peace, justice, and strong institutions
Open Access status: hybrid
Funders Agence Nationale de la Recherche, H2020 European Research Council
Grant IDS ANR-17-CE40-0030, 810367