9 citations · 16 across the 4 of their papers we have counts for
3 papers · 1 filter
Boltzmann Generators and the New Frontier of Computational Sampling in Many-Body Systems
Alessandro Coretti, Sebastian Falkner, Jan Weinreich +2
The paper by Noé et al. [F. Noé, S. Olsson, J. Köhler and H. Wu, Science, 365:6457 (2019)] introduced the concept of Boltzmann Generators (BGs), a deep generative model that can pr…
Enhanced Sampling of Configuration and Path Space in a Generalized Ensemble by Shooting Point Exchange
Sebastian Falkner, Alessandro Coretti, Christoph Dellago
The computer simulation of many molecular processes is complicated by long time scales caused by rare transitions between long-lived states. Here, we propose a new approach to simu…
Learning Mappings between Equilibrium States of Liquid Systems Using Normalizing Flows
Alessandro Coretti, Sebastian Falkner, Phillip Geissler +1
Generative models are a promising tool to address the sampling problem in multi-body and condensed-matter systems in the framework of statistical mechanics. In this work, we show t…