collaborators

5 papers

cond-mat.mtrl-sci2026

Electrostatic Phenomenology Benchmarks for Machine-Learned Interatomic Potentials in Electrochemistry: Beyond the Energy-Force Metric

Barbara Sumić, Ria Vasdev, Sudheesh Kumar Ethirajan +8

Accurate treatment of long-range interactions in machine learning interatomic potentials (MLIPs) is essential for electrochemical simulations. However, aggregate energy and force e…

physics.chem-ph2026

CP2K: An electronic structure and molecular dynamics software package - Dynamics, Transport, and Spectroscopic Response

Jan Wilhelm, Anna-Sophia Hehn, Anna Hehn +40

One of the distinguishing aspects of CP2K is its seamless integration of diverse structural and transition-state optimization techniques with advanced sampling approaches including…

physics.chem-ph2026

Atomistic Modeling for Electro-chemical Reactions

K. Doblhoff-Dier, B. Ballotta, L. Bonati +16

Computational modeling plays a central role in advancing our understanding of electro-chemical reactions and may thus guide the rational development of sustainable energy technolog…

cond-mat.stat-mech2026

Divergent Fluctuations from a 2D Infrared Catastrophe

Richard G. Hennig, Clotilde S. Cucinotta

Molecular simulations of interfacial polar media routinely employ periodic boundary conditions parallel to the interface. We show that this lateral periodicity introduces a spatial…

cond-mat.mtrl-sci2025

Nanoscale surface morphology controls charge storage at stepped Pt-water interfaces

Matthew T. Darby, Muhammad Saleh, Marialore Sulpizi +1

Platinum step edges dominate electrocatalytic activity in fuel cells and electrolysers, yet their atomistic electrochemical behaviour remains poorly understood. Here, we employ \te…