71 citations · 201 across the 10 of their papers we have counts for
4 papers · 1 filter
Threshold displacement energies in refractory high-entropy alloys
Jesper Byggmästar, Flyura Djurabekova, Kai Nordlund
Refractory high-entropy alloys show promising resistance to irradiation, yet little is known about the fundamental nature of radiation-induced defect formation. Here, we simulate t…
Fast and accurate machine-learned interatomic potentials for large-scale simulations of Cu, Al and Ni
Aslak Fellman, Jesper Byggmästar, Fredric Granberg +2
Machine learning (ML) has become widely used in the development of interatomic potentials for molecular dynamics simulations. However, most ML potentials are still much slower than…
Threshold displacement energy map of Frenkel pair generation in from machine-learning-driven molecular dynamics simulations
Huan He, Junlei Zhao, Jesper Byggmästar +4
phase gallium oxide (-) demonstrates tremendous potential for electronics applications and offers promising prospects for integration into future space systems…
Crystallization Instead of Amorphization in Collision Cascades in Gallium Oxide
Junlei Zhao, Javier García Fernández, Alexander Azarov +6
Disordering of solids typically leads to amorphization, but polymorph transitions, facilitated by favorable atomic rearrangements, may temporarily help to maintain long-range perio…