activity
20232026
most citedFeshbach Resonances in Cold Collisions: Benchmarking State of the Art ab initio Potential Energy Surfaces

5 citations · 9 across the 19 of their papers we have counts for

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Showing 2026Show all

8 papers · 1 filter

physics.chem-ph2026

Energy Flow Shapes the Decomposition Dynamics of a Reactive Atmospheric Intermediate

Mitradip Das, Cangtao Yin, M. Meuwly

The unimolecular dynamics of Criegee intermediates depend strongly on their internal energy, which can differ substantially between nascent atmospheric species and laboratory-prepa…

physics.chem-ph2026

Quantitative Classical Relaxation Dynamics of Penning-Ionized He/Ne--H/HD Complexes

Meenu Upadhyay, Baruch Margulis, Octavio Roncero +3

Penning ionization allows {\it in situ} generation of ionic complexes to launch vibrational relaxation and dissociation dynamics for rare gas--H/HD complexes. The ensuing…

physics.chem-ph2026

Charge-partition pathways in strong-field photoionization of carbonyl sulfide monomers and dimers

Chao He, Xinyue Zhang, Cangtao Yin +2

Strong-field photoionization of molecules and molecular clusters gives rise to a rich variety of fragmentation pathways governed by charge localization and redistribution on ultraf…

physics.chem-ph2026

Reaction Pathway Detection using Machine-Learned Energy Potentials -- Decomposition of Energized CFCHOO

Cangtao Yin, Markus Meuwly

Characterization of the decomposition products of energized Criegee intermediates is essential for assessing their impact on the chemical evolution of the atmosphere. Here, a gener…

physics.chem-ph2026

Full-Dimensional Reactive Potential Energy Surfaces for OCS CO+S Dissociation: Ground and Excited States

Cangtao Yin, Stefan Willitsch, Markus Meuwly

Full-dimensional reactive potential energy surfaces (PESs) for the OCS cation are constructed to describe S loss in the electronic ground state and seven low-lying electron…

physics.chem-ph2026

Fidelity of Machine Learned Potentials: Quantitative Assessment for Protonated Oxalate

Chen Qu, Paul L. Houston, Qi Yu +5

There has been a veritable explosion of methods and software to perform machine-learned regression on datasets of electronic energies and forces to develop high-dimensional machine…

physics.chem-ph2026

High-Accuracy Molecular Simulations with Machine-Learning Potentials and Semiclassical Approximations to Quantum Dynamics

Valerii Andreichev, Jindra Dušek, Markus Meuwly +1

Accurate simulations of molecules require high-level electronic-structure theory in combination with rigorous methods for approximating the quantum dynamics. Machine-learning appro…

physics.chem-ph2026

Full Reaction Pathway Dynamics for Atmospheric Decomposition Reactions: The Photodissociation of HCOO

Cangtao Yin, Markus Meuwly

Branching ratios for fragmentation channels of important meta- and unstable species are essential for a molecular-level characterization of atmospheric chemistry. Here, the molecul…