Jesper Byggmästar
Helsingin yliopisto
H-index: 17
Europe-Finland
Top articles of Jesper Byggmästar
Large-scale atomistic study of plasticity in amorphous gallium oxide with a machine-learning potential
arXiv preprint arXiv:2404.17353
2024/4/26
Ultrahigh Stability of O-Sublattice in -GaO
arXiv preprint arXiv:2404.10451
2024/4/16
Interatomic force fields for zirconium based on the embedded atom method and the tabulated Gaussian Approximation Potential
Computational Materials Science
2024/1/30
Threshold displacement energy map of Frenkel pair generation in from machine-learning-driven molecular dynamics simulations
arXiv preprint arXiv:2401.14039
2024/1/25
Self–ion irradiation of high purity iron: Unveiling plasticity mechanisms through nanoindentation experiments and large-scale atomistic simulations
Journal of Nuclear Materials
2023/12/1
Jesper Byggmästar
H-Index: 8
Stefanos Papanikolaou
H-Index: 18
Effects of lattice and mass mismatch on primary radiation damage in W-Ta and W-Mo binary alloys
Journal of Nuclear Materials
2023/9/1
Complex Ga2O3 polymorphs explored by accurate and general-purpose machine-learning interatomic potentials
npj Computational Materials
2023/9/1
Large-scale machine-learning molecular dynamics simulation of primary radiation damage in tungsten
Physical Review B
2023/8/24
Mechanisms of exceptional radiation resistance of Ga2O3 by means of atomistic simulations of radiation damage in β-Ga2O3
2023/5/3
Jesper Byggmästar
H-Index: 8
Comprehensive structural changes in nanoscale-deformed silicon modelled with an integrated atomic potential
Materialia
2023/5/1
Nanoindentation of tungsten: From interatomic potentials to dislocation plasticity mechanisms
Physical Review Materials
2023/4/24
Jesper Byggmästar
H-Index: 8
Efficient atomistic simulations of radiation damage in W and W–Mo using machine-learning potentials
Journal of Nuclear Materials
2023/4/15
Effect of simulation technique on the high-dose damage in tungsten
Computational Materials Science
2023/1/25
Fredric Granberg
H-Index: 16
Jesper Byggmästar
H-Index: 8
Energy loss in low energy nuclear recoils in dark matter detector materials
Physical Review D
2022/9/15
Matti Heikinheimo
H-Index: 16
Kimmo Tuominen
H-Index: 27
Antti Kuronen
H-Index: 17
Jesper Byggmästar
H-Index: 8
Kai Nordlund
H-Index: 52
Simple machine-learned interatomic potentials for complex alloys
Physical Review Materials
2022/8/11
Molecular dynamics study of hydrogen isotopes at the Be/BeO interface
Journal of Physics: Condensed Matter
2022/8/1
Multiscale machine-learning interatomic potentials for ferromagnetic and liquid iron
Journal of Physics: Condensed Matter
2022/5/30
Jesper Byggmästar
H-Index: 8
Aslak Fellman
H-Index: 1
Fredric Granberg
H-Index: 16
Flyura Djurabekova
H-Index: 29
Kai Nordlund
H-Index: 52
Effect of cascade overlap and C15 clusters on the damage evolution in Fe: An OKMC study
Materialia
2022/3/1
Amin Esfandiarpour
H-Index: 5
Jesper Byggmästar
H-Index: 8
Juan Pablo Balbuena
H-Index: 7
Kai Nordlund
H-Index: 52
Fredric Granberg
H-Index: 16
Phase transition of two-dimensional ferroelectric and paraelectric monolayers: A density functional theory and machine learning study
Physical Review B
2021/8/6
Jesper Byggmästar
H-Index: 8
Zhaofu Zhang
H-Index: 17
Flyura Djurabekova
H-Index: 29
Kai Nordlund
H-Index: 52
Machine-learning interatomic potential for W–Mo alloys
Journal of Physics: Condensed Matter
2021/6/18
Jesper Byggmästar
H-Index: 8
Joseph Kioseoglou
H-Index: 15
Kai Nordlund
H-Index: 52
Flyura Djurabekova
H-Index: 29
Co-Authors
