Professor

Publications

Estimating Free Energy Barriers for Heterogeneous Catalytic Reactions with Machine Learning Potentials and Umbrella Integration
S Stocker, H Jung, G Csányi, CF Goldsmith, K Reuter, JT Margraf
Journal of chemical theory and computation
(2023)
19
Dynamic Local Structure in Caesium Lead Iodide: Spatial Correlation and Transient Domains
WJ Baldwin, X Liang, J Klarbring, M Dubajic, D Dell'Angelo, C Sutton, C Caddeo, SD Stranks, A Mattoni, A Walsh, G Csányi
Small
(2023)
20
Strain rate sensitivity of the hydrogen embrittlement of ferritic steels
SS Shishvan, G Csányi, VS Deshpande
Acta Materialia
(2023)
257
Global analysis of energy landscapes for materials modeling: A test case for C60.
G Csányi, JWR Morgan, DJ Wales
The Journal of Chemical Physics
(2023)
159
ACEpotentials.jl: A Julia Implementation of the Atomic Cluster Expansion
WC Witt, C van der Oord, E Gelžinytė, T Järvinen, A Ross, JP Darby, CH Ho, WJ Baldwin, M Sachs, J Kermode, N Bernstein, G Csányi, C Ortner
(2023)
wfl Python toolkit for creating machine learning interatomic potentials and related atomistic simulation workflows.
E Gelžinytė, S Wengert, TK Stenczel, HH Heenen, K Reuter, G Csányi, N Bernstein
The Journal of chemical physics
(2023)
159
Hyperactive learning for data-driven interatomic potentials.
C van der Oord, M Sachs, DP Kovács, C Ortner, G Csányi
Npj Computational Materials
(2023)
9
Machine learning of microscopic structure-dynamics relationships in complex molecular systems
M Crippa, A Cardellini, M Cioni, G Csányi, GM Pavan
(2023)
Structural Dynamics Descriptors for Metal Halide Perovskites.
X Liang, J Klarbring, WJ Baldwin, Z Li, G Csányi, A Walsh
Journal of Physical Chemistry C
(2023)
127
Accurate Energy Barriers for Catalytic Reaction Pathways: An Automatic Training Protocol for Machine Learning Force Fields
L Schaaf, E Fako, S De, A Schäfer, G Csányi
(2023)

Research Interest Group

Telephone number

01223 762877

Email address