activity
19972023
most citedComposition, structure and stability of RuO_2(110) as a function of oxygen pressure

2.1k citations · 11.3k across the 115 of their papers we have counts for

collaborators

116 papers

physics.comp-ph2023

wfl Python Toolkit for Creating Machine Learning Interatomic Potentials and Related Atomistic Simulation Workflows

Elena Gelžinytė, Simon Wengert, Tamás K. Stenczel +4

Predictive atomistic simulations are increasingly employed for data intensive high throughput studies that take advantage of constantly growing computational resources. To handle t…

physics.chem-ph2023★ 5 cited

A Theoretical Investigation of the Grand- and the Canonical Potential Energy Surface: The Interplay between Electronic and Geometric Response at Electrified Interfaces

Simeon D. Beinlich, Georg Kastlunger, Karsten Reuter +1

How does an electrochemical interface respond to changes in the electrode potential? How does the response affect the key properties of the system - energetics, excess charge, capa…

physics.chem-ph2023★ 4 cited

A Fuzzy Classification Framework to Identify Equivalent Atoms in Complex Materials and Molecules

King Chun Lai, Sebastian Matera, Christoph Scheurer +1

The nature of an atom in a bonded structure -- such as in molecules, in nanoparticles or solids, at surfaces or interfaces -- depends on its local atomic environment. In atomic-sca…

cond-mat.mtrl-sci2023★ 12 cited

Operando Characterization and Molecular Simulations Reveal the Growth Kinetics of Graphene on Liquid Copper during Chemical Vapor Deposition

Valentina Rein, Hao Gao, Hendrik H. Heenen +10

In recent years, liquid metal catalysts have emerged as a compelling choice for the controllable, large-scale, and high-quality synthesis of two-dimensional materials. At present,…

physics.chem-ph2023★ 11 cited

Interpreting Ultrafast Electron Transfer on Surfaces with a Converged First-Principles Newns-Anderson Chemisorption Function

Simiam Ghan, Elias Diesen, Christian Kunkel +2

We study the electronic coupling between an adsorbate and a metal surface by calculating tunneling matrix elements H directly from first principles. For this we emplo…

cond-mat.mtrl-sci2022★ 2 cited

Machine-learning Based Screening of Lead-free Halide Double Perovskites for Photovoltaic Applications

Elisabetta Landini, Karsten Reuter, Harald Oberhofer

Lead-free halide double perovskites are promising stable and non-toxic alternatives to methylammonium lead iodide in the field of photovoltaics. In this context, the most commonly…