activity
20182024
most citedSmart energy models for atomistic simulations using a DFT-driven multifidelity approach

8 citations · 8 across the 5 of their papers we have counts for

collaborators

5 papers

cond-mat.mtrl-sci2024

Activation entropy of dislocation glide in body-centered cubic metals from atomistic simulations

Arnaud Allera, Thomas D. Swinburne, Alexandra M. Goryaeva +5

The activation entropy of dislocation glide, a key process controlling the strength of many metals, is often assumed to be constant or linked to enthalpy through the empirical Meye…

cond-mat.mtrl-sci2023

Robust crystal structure identification at extreme conditions using a density-independent spectral descriptor and supervised learning

Paul Lafourcade, Jean-Bernard Maillet, Christophe Denoual +4

The increased time- and length-scale of classical molecular dynamics simulations have led to raw data flows surpassing storage capacities, necessitating on-the-fly integration of s…

cond-mat.mtrl-sci2023

Neighbors Map: an Efficient Atomic Descriptor for Structural Analysis

Arnaud Allera, Alexandra M. Goryaeva, Paul Lafourcade +2

Accurate structural analysis is essential to gain physical knowledge and understanding of atomic-scale processes in materials from atomistic simulations. However, traditional analy…

cond-mat.mtrl-sci2021

Synergistic coupling in ab initio-machine learning simulations of dislocations

Petr Grigorev, Alexandra M. Goryaeva, Mihai-Cosmin Marinica +2

Ab initio simulations of dislocations are essential to build quantitative models of material strength, but the required system sizes are often at or beyond the limit of existing me…

physics.comp-ph2018★ 8 cited

Smart energy models for atomistic simulations using a DFT-driven multifidelity approach

Luca Messina, Alessio Quaglino, Alexandra Goryaeva +5

The reliability of atomistic simulations depends on the quality of the underlying energy models providing the source of physical information, for instance for the calculation of mi…