101 citations · 173 across the 14 of their papers we have counts for
15 papers
Correlation-Free Transition Path Sampling through Shooting Point Generation Guided by Committor Learning
Maximilian Negedly, Sebastian Falkner, Alessandro Coretti +1
Studying the dynamical behavior of a system often depends on characterizing how it transitions between long-lived states. Because such transitions are rare, observing them usually…
Generative Nested Sampling of Atomistic Thermodynamic Landscapes
Alessandro Coretti, Nico Unglert, Sebastian Falkner +2
Nested sampling (NS) resolves the thermodynamics of an atomistic system from a single simulation, but its practical reach is limited by the Markov-chain updates needed to decorrela…
An Always-Accepting Algorithm for Transition Path Sampling
Magdalena Häupl, Sebastian Falkner, Peter G. Bolhuis +2
We present a one-way shooting algorithm for transition path sampling that accepts every proposed trajectory, yet samples the correct transition path ensemble for systems with overd…
Electrically driven first-order phase transition of a 2D ionic crystal at the electrode/electrolyte interface
Federica Angiolari, Alessandro Coretti, Mathieu Salanne +1
Liquid electrolytes adsorbed at the surface of metallic electrodes display a multitude of structures that can largely differ from the parent bulk system, both in terms of compositi…
Revisiting Shooting Point Monte Carlo Methods for Transition Path Sampling
Sebastian Falkner, Alessandro Coretti, Baron Peters +2
Rare event sampling algorithms are essential for understanding processes that occur infrequently on the molecular scale, yet they are important for the long-time dynamics of comple…
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…
Conditioning Normalizing Flows for Rare Event Sampling
Sebastian Falkner, Alessandro Coretti, Salvatore Romano +2
Understanding the dynamics of complex molecular processes is often linked to the study of infrequent transitions between long-lived stable states. The standard approach to the samp…
Mass-Zero constrained dynamics for simulations based on orbital-free density functional theory
Alessandro Coretti, Taylor J. Baird, Rodolphe Vuilleumier +1
A new algorithm for efficient and fully time-reversible integration of first-principles molecular dynamics based on orbital-free density functional theory (OFDFT) is presented. The…
Mass-Zero constrained dynamics and statistics for the shell model in magnetic field
David D. Girardier, Alessandro Coretti, Giovanni Ciccotti +1
In several domains of physics, including first principle simulations and classical models for polarizable systems, the minimization of an energy function with respect to a set of a…
Fluctuation relations for dissipative systems in constant external magnetic field: theory and molecular dynamics simulations
Alessandro Coretti, Lamberto Rondoni, Sara Bonella
It has recently been pointed out that Hamiltonian particle systems in constant magnetic fields satisfy generalized time-reversal symmetries that enable to prove useful statistical…
Mass-zero constrained molecular dynamics for electrode charges in simulations of electrochemical systems
Alessandro Coretti, Laura Scalfi, Camille Bacon +5
Classical molecular dynamics simulations have recently become a standard tool for the study of electrochemical systems. State-of-the-art approaches represent the electrodes as perf…
Adiabatic motion and statistical mechanics via mass zero constrained dynamics
Sara Bonella, Alessandro Coretti, Rodolphe Vuilleumier +1
In recent work [Coretti et al., The Journal of Chemical Physics, 2018, 149, 191102], a new algorithm to solve numerically the dynamics of the shell model for polarization was prese…
Charge fluctuations from molecular simulations in the constant-potential ensemble
Laura Scalfi, David T. Limmer, Alessandro Coretti +4
We revisit the statistical mechanics of charge fluctuations in capacitors. In constant-potential classical molecular simulations, the atomic charge of electrode atoms are treated a…