most citedNATPS: Nonadiabatic Transition Path Sampling Using Time-Reversible MASH Dynamics

1 citations · 1 across the 4 of their papers we have counts for

collaborators

7 papers

physics.chem-ph2026

Nonadiabatic Forward-Flux Sampling of Rare Molecular Gas-Phase Ammonia Photodissociation

Madlen Maria Reiner, Johannes C. B. Dietschreit, Leticia González +1

Simulating rare events in photochemistry by brute-force surface hopping is computationally prohibitive: most propagated trajectories either remain nonreactive or follow dominant re…

physics.chem-ph2026

The Entropic Barrier around the Conical Intersection Seam

Johannes C. B. Dietschreit, Sebastian Mai, Leticia González

Conical intersections (CIs) are seen as the main mediators of nonadiabatic transitions; yet, mixed quantum-classical (MQC) simulations that treat nuclei as classical point particle…

physics.chem-ph2026

Reweighting free energy profiles between universal machine learning interatomic potentials for fast consensus building

Sauradeep Majumdar, Miguel Steiner, Johannes C. B. Dietschreit +4

Free energy profiles serve as a fundamental bridge between microscopic atomic fluctuations and macroscopic thermodynamic observables. Estimating the free energy profile along a rea…

physics.comp-ph20261 cited

NATPS: Nonadiabatic Transition Path Sampling Using Time-Reversible MASH Dynamics

Xiran Yang, Madlen Maria Reiner, Brigitta Bachmair +3

Rare nonadiabatic events play a central role in photochemistry but remain difficult to simulate because excited-state dynamics is computationally demanding and often stochastic. He…

physics.comp-ph2025

Incorporating Long-Range Interactions via the Multipole Expansion into Ground and Excited-State Molecular Simulations

Rhyan Barrett, Johannes C. B. Dietschreit, Julia Westermayr

Simulating long-range interactions remains a significant challenge for molecular machine learning potentials due to the need to accurately capture interactions over large spatial r…

physics.chem-ph2025

Excited-state nonadiabatic dynamics in explicit solvent using machine learned interatomic potentials

Maximilian X. Tiefenbacher, Brigitta Bachmair, Cheng Giuseppe Chen +4

Excited-state nonadiabatic simulations with quantum mechanics/molecular mechanics (QM/MM) are essential to understand photoinduced processes in explicit environments. However, the…