most citedAccurate Machine Learning Interatomic Potentials for Polyacene Molecular Crystals: Application to Single Molecule Host-Guest Systems

3 citations · 3 across the 4 of their papers we have counts for

collaborators

5 papers

physics.chem-ph2026

High-Harmonic Generation Probes Quantum Nuclear Fluctuations in Liquid Water

George Trenins, Nicolas Tancogne-Dejean, Angana Mondal +5

Nuclear quantum effects are essential for an accurate description of the hydrogen-bonded structure of liquid water, yet their spectroscopic signatures can be subtle and difficult t…

physics.chem-ph2025

Attosecond-resolved probing of recolliding electron wave packets in liquids and aqueous solutions

Angana Mondal, Nicolas Tancogne-Dejean, George Trenins +8

High-harmonic spectroscopy (HHS) in liquids promises real-time access to ultrafast electronic dynamics in the native environment of chemical and biological processes. While electro…

physics.chem-ph2025

Vibrational Spectra of Materials and Molecules from Partially-Adiabatic Elevated-Temperature Centroid Molecular Dynamics

Jorge Castro, George Trenins, Venkat Kapil +1

Centroid molecular dynamics (CMD) incorporates nuclear quantum statistics into the calculation of vibrational spectra. However, when performed in Cartesian coordinates, CMD shows u…

physics.chem-ph2025

Multi-plateau high-harmonic generation in liquids driven by off-site recombination

Angana Mondal, Ofer Neufeld, Tadas Balciunas +7

Non-perturbative high-harmonic generation (HHG) has recently been observed in the liquid phase, where it was demonstrated to have a different physical mechanism compared to gas and…

cond-mat.mtrl-sci2025★ 3 cited

Accurate Machine Learning Interatomic Potentials for Polyacene Molecular Crystals: Application to Single Molecule Host-Guest Systems

Burak Gurlek, Shubham Sharma, Paolo Lazzaroni +2

Emerging machine learning interatomic potentials (MLIPs) offer a promising solution for large-scale accurate material simulations, but stringent tests related to the description of…