126 citations · 206 across the 3 of their papers we have counts for
3 papers
Machine Learning Coarse-Grained Potentials of Protein Thermodynamics
Maciej Majewski, Adrià Pérez, Philipp Thölke +7
A generalized understanding of protein dynamics is an unsolved scientific problem, the solution of which is critical to the interpretation of the structure-function relationships t…
Reinforcement learning optimization of the charging of a Dicke quantum battery
Paolo Andrea Erdman, Gian Marcello Andolina, Vittorio Giovannetti +1
Quantum batteries are energy-storing devices, governed by quantum mechanics, that promise high charging performance thanks to collective effects. Due to its experimental feasibilit…
Skipping the Replica Exchange Ladder with Normalizing Flows
Michele Invernizzi, Andreas Krämer, Cecilia Clementi +1
We combine replica exchange (parallel tempering) with normalizing flows, a class of deep generative models. These two sampling strategies complement each other, resulting in an eff…