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20232026
most citedForce Fields for Deep Eutectic Mixtures: Application to Structure and 2D-Infrared Spectroscopy

10 citations · 14 across the 18 of their papers we have counts for

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5 papers · 1 filter

physics.chem-ph2026

Observing Phase Space Evolution During Unimolecular Decay

Abhirami Vijayakumar, Raidel Martin Barrios, Meenu Upadhyay +4

Direct time-resolved observation of large amplitude dynamics during ground state statistical unimolecular decay remains an experimental challenge. Here, an experimental Time-Resolv…

physics.chem-ph2026

Site-Specific Vibrational Dynamics to Probe Local and Global Protein Motions

Sena Aydin, Markus Meuwly

Vibrational spectroscopic probes can provide site-specific information on protein structure and dynamics. In this work, the possibility to relate protein motion with the vibrationa…

physics.chem-ph2026

Explicit, Machine-Learned Two-Body Potentials for Molecular Simulations

Kham Lek Chaton, Eric D. Boittier, Mike Devereux +1

A new pairwise hybrid machine-learning/molecular mechanics (ML/MM) potential is introduced that is conceived for application to large, heterogeneous condensed-phase systems. The Ph…

physics.chem-ph2026

Towards Quantitative Reaction Dynamics of O3

Raidel Martin-Barrios, Abhirami Vijayakumar, Jingchun Wang +1

The reaction dynamics of O(3P) + O2(3Sigma_g-) collisions in the O3(1A') electronic ground state is characterized on a high-level MRCI+Q/aug-cc-pVQZ potential energy surface repres…

physics.chem-ph2026

Efficient, Equivariant Predictions of Distributed Charge Models

Eric D. Boittier, Markus Meuwly

A machine learning (ML) based equivariant neural network for constructing distributed charge models (DCMs) of arbitrary resolution, DCM-net, is presented. DCMs efficiently and accu…