activity
20242026
most citedRoadmap on Advancements of the FHI-aims Software Package

8 citations · 8 across the 1 of their papers we have counts for

collaborators

6 papers

cond-mat.mtrl-sci20268 cited

Roadmap on Advancements of the FHI-aims Software Package

Joseph W. Abbott, Carlos Mera Acosta, Alaa Akkoush +203

Electronic-structure theory is the foundation of the description of materials including multiscale modeling of their properties and functions. Obviously, without sufficient accurac…

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

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.optics2025

Picocavity-Enhanced Raman Spectroscopy of Physisorbed H and D Molecules

Akitoshi Shiotari, Shuyi Liu, George Trenins +4

We report on tip-enhanced Raman spectroscopy of H2 and D2 molecules physisorbed within a plasmonic picocavity at 10 K. The intense Raman peaks resulting from the rotational and vib…

cond-mat.mtrl-sci2025

Non-Markovian Effects in Quantum Rate Calculations of Hydrogen Diffusion with Electronic Friction

George Trenins, Mariana Rossi

We address the challenge of incorporating non-Markovian electronic friction effects in quantum-mechanical approximations of dynamical observables. A generalized Langevin equation (…

physics.chem-ph2024

i-PI 3.0: a flexible and efficient framework for advanced atomistic simulations

Yair Litman, Venkat Kapil, Yotam M. Y. Feldman +13

Atomic-scale simulations have progressed tremendously over the past decade, largely due to the availability of machine-learning interatomic potentials. These potentials combine the…