Quantum computers offer a significant advantage in simulating quantum systems compared to classical computers for certain problems, although most current applications are limited to calculating static molecular properties using hybrid quantum-classical hardware. In this work, we establish a framework for the representa...
This work develops a canonical parameterization, and trains energy-based generative flow networks to approximate the Boltzmann distribution over crystal structures for target molecules and space groups, and sample and analyze distributions of crystals for two molecules.
Michael Kilgour, A. Dong, M. Tuckerman et al.· 1 citation
Accurate solvation free energies from molecular dynamics simulations require efficient sampling of coupled slow variables, including solvent coordinates, solute conformational modes, and the alchemical coordinate $\lambda$. Here, we develop a $\lambda$-dynamics framework that combines mass scaling, on-the-fly probabili...
Gabriela B. Correa, C. Abreu, Nishanth N Nair et al.· 0 citations
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