[HTML][HTML] Perspective: Atomistic simulations of water and aqueous systems with machine learning potentials
A Omranpour, P Montero De Hijes, J Behler… - The Journal of …, 2024 - pubs.aip.org
As the most important solvent, water has been at the center of interest since the advent of
computer simulations. While early molecular dynamics and Monte Carlo simulations had to …
computer simulations. While early molecular dynamics and Monte Carlo simulations had to …
[HTML][HTML] Asparagus: A toolkit for autonomous, user-guided construction of machine-learned potential energy surfaces
With the establishment of machine learning (ML) techniques in the scientific community, the
construction of ML potential energy surfaces (ML-PES) has become a standard process in …
construction of ML potential energy surfaces (ML-PES) has become a standard process in …
[HTML][HTML] PhysNet meets CHARMM: A framework for routine machine learning/molecular mechanics simulations
Full-dimensional potential energy surfaces (PESs) based on machine learning (ML)
techniques provide a means for accurate and efficient molecular simulations in the gas and …
techniques provide a means for accurate and efficient molecular simulations in the gas and …
[HTML][HTML] Evaluating aliphatic CF, CF2, and CF3 groups as vibrational Stark effect reporters
Given the extensive use of fluorination in molecular design, it is imperative to understand the
solvation properties of fluorinated compounds and the impact of the C–F bond on …
solvation properties of fluorinated compounds and the impact of the C–F bond on …