activity
20032026
most citedOn the thermodynamic stability of PdO surfaces

236 citations · 1.7k across the 35 of their papers we have counts for

collaborators

35 papers

cond-mat.mtrl-sci2026

Finite-Temperature Thermodynamics of Cu(100) Oxidation: Missing-Row Reconstruction, Defect States, and Order-Disorder Transition from Nested Sampling

Felix Riccius, Karsten Reuter, Hendrik H. Heenen +1

Metal surfaces undergo structural, compositional, and morphological changes in response to their chemical environment. Tuning the surfaces' function and stability for a given appli…

cs.LG2025★ 1 cited

MXtalTools: A Toolkit for Machine Learning on Molecular Crystals

Michael Kilgour, Mark E. Tuckerman, Jutta Rogal

We present MXtalTools, a flexible Python package for the data-driven modelling of molecular crystals, facilitating machine learning studies of the molecular solid state. MXtalTools…

cond-mat.mtrl-sci2025★ 4 cited

Automated Machine Learning Pipeline: Large Language Models-Assisted Automated Dataset Generation for Training Machine-Learned Interatomic Potentials

Adam Lahouari, Jutta Rogal, Mark E. Tuckerman

Machine learning interatomic potentials (MLIPs) have become powerful tools to extend molecular simulations beyond the limits of quantum methods, offering near-quantum accuracy at m…

cs.LG2024★ 1 cited

Multi-Type Point Cloud Autoencoder: A Complete Equivariant Embedding for Molecule Conformation and Pose

Michael Kilgour, Mark Tuckerman, Jutta Rogal

Representations are a foundational component of any modelling protocol, including on molecules and molecular solids. For tasks that depend on knowledge of both molecular conformati…

cond-mat.mtrl-sci2024

Machine learning classification of local environments in molecular crystals

Daisuke Kuroshima, Michael Kilgour, Mark E. Tuckerman +1

Identifying local structural motifs and packing patterns of molecular solids is a challenging task for both simulation and experiment. We demonstrate two novel approaches to charac…

cond-mat.mtrl-sci2023★ 1 cited

Structural transformations driven by local disorder at interfaces

Yanyan Liang, Grisell Díaz Leines, Ralf Drautz +1

Despite the fundamental importance of solid-solid transformations in many technologies, the microscopic mechanisms remain poorly understood. Here, we explore the atomistic mechanis…