activity
20162025
most citedZero-Point Energy Leakage in Quantum Thermal Bath Molecular Dynamics Simulations

52 citations · 210 across the 10 of their papers we have counts for

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Showing physics.chem-phShow all

7 papers · 1 filter

physics.chem-ph2022★ 5 cited

Neural Network Interaction Potentials for para-Hydrogen with Flexible Molecules

Laura Durán Caballero, Christoph Schran, Fabien Brieuc +1

The study of molecular impurities in -hydrogen (H) clusters is key to push forward our understanding of intra- and intermolecular interactions including their impac…

physics.chem-ph2022★ 25 cited

State-resolved infrared spectrum of the protonated water dimer: Revisiting the characteristic proton transfer doublet peak

Henrik R. Larsson, Markus Schröder, Richard Beckmann +4

The infrared (IR) spectra of protonated water clusters encode precise information on the dynamics and structure of the hydrated proton. However, the strong anharmonic coupling and…

physics.chem-ph2022★ 42 cited

Infrared spectra at coupled cluster accuracy from neural network representations

Richard Beckmann, Fabien Brieuc, Christoph Schran +1

Infrared spectroscopy is key to elucidate molecular structures, monitor reactions and observe conformational changes, while providing information on both structural and dynamical p…

physics.chem-ph2021★ 39 cited

Converged Colored Noise Path Integral Molecular Dynamics Study of the Zundel Cation down to Ultra-low Temperatures at Coupled Cluster Accuracy

Christoph Schran, Fabien Brieuc, Dominik Marx

For a long time, performing converged path integral simulations at ultra-low, but finite temperatures of a few Kelvin has been a nearly impossible task. However, recent development…

physics.chem-ph2020★ 2 cited

Manifestations of Local Supersolidity of He around a Charged Molecular Impurity

Fabien Brieuc, Christoph Schran, Dominik Marx

A frozen, solid helium core, dubbed snowball, is typically observed around cations in liquid helium. Here we discover, using path integral simulations, that around a cationic molec…

physics.chem-ph2020★ 31 cited

Transferability of machine learning potentials: Protonated water neural network potential applied to the protonated water hexamer

Christoph Schran, Fabien Brieuc, Dominik Marx

A previously published neural network potential for the description of protonated water clusters up to the protonated water tetramer, H(HO), at essentially converged co…

physics.chem-ph2020★ 8 cited

Deciphering High-order Structural Correlations within Fluxional Molecules from Classical and Quantum Configurational Entropy

Rafal Topolnicki, Fabien Brieuc, Christoph Schran +1

We employ the k-th nearest-neighbor estimator of configurational entropy in order to decode within a parameter-free numerical approach the complex high-order structural correlation…