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October 13, 2025Open Access

Cluster Models for Next-Generation, Machine-Learning-Based Energy Functions for Molecular Simulations

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Authors

JWJingChun WangMUMeenu UpadhyayEBEric D. Boittier

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Overview

This research explores interaction energies in molecular simulations, suggesting improvements for heterogeneous chemical systems.

Key Points

  • Accurate interaction energies can enhance molecular simulations, especially for pure and heterogeneous systems.
  • Kernel and neural network approaches combined with charge models improve energy function accuracy for complex systems.
  • The study highlights the need for realistic models to address van der Waals interactions in simulations.
  • Small to medium-sized clusters are used to refine interaction energy estimates against quantum chemical references.

Cite This Study

Wang et al. (2025) studied this question.

synapsesocial.com/papers/68ecfebf950606aabec0955dhttps://doi.org/10.48550/arxiv.2509.11639
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