Addressing pathological deficiencies in the simulation of complex charged fluids using neural network force fields

Abstract In this work, we evaluate the capability of Neural Network-based force fields, particularly NeuralIL (J Chem. Inf. Model. 62, 88-101, 2021), to simulate complex charged fluids. We focus on how this novel force field can address several pathological deficiencies of classical force fields for...

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Bibliographic Details
Main Authors: Hadrián Montes-Campos, Martín Otero-Lema, Trinidad Méndez-Morales
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Online Access:https://doi.org/10.1038/s41598-025-04482-7
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