Jesper Byggmästar

1. Large-scale machine-learning molecular dynamics simulation of primary radiation damage in tungsten
   2023/05/14 by Jiahui Liu, Jesper Byggmästar, Liu, Jiahui +7 · 9 citations
   Materials Science · Physics and Astronomy · #Computational Physics (physics.comp-ph) #FOS: Physical sciences #Fusion materials and technologies #Nuclear Materials and Properties #Nuclear Physics and Applications
2. On the classification and quantification of crystal defects after energetic bombardment by machine learned molecular dynamics simulations
   2019/10/26 by F. J. Domínguez-Gutiérrez, Domínguez-Gutiérrez, F. J., Jesper Byggmästar +7 · 2 citations
   Engineering · Materials Science · #Applied Physics (physics.app-ph) #Computational Physics (physics.comp-ph) #FOS: Physical sciences #Fusion materials and technologies #Ion-surface interactions and analysis #Materials Science (cond-mat.mtrl-sci) #Nuclear Materials and Properties
3. Utilizing a machine-learned potential to explore enhanced radiation tolerance in the MoNbTaVW high-entropy alloy
   2024/11/05 by Jiahui Liu, Liu, Jiahui, Jesper Byggmästar +9 · 2 citations
   Engineering · Materials Science · #Additive Manufacturing Materials and Processes #Computational Physics (physics.comp-ph) #FOS: Physical sciences #High Entropy Alloys Studies #Materials Science (cond-mat.mtrl-sci) #Nuclear Materials and Properties
4. Threshold displacement energies in refractory high-entropy alloys
   2024/09/12 by Jesper Byggmästar, Flyura Djurabekova, Byggmästar, Jesper +3 · 1 citation
   Engineering · #FOS: Physical sciences #High Entropy Alloys Studies #High-Temperature Coating Behaviors #Materials Science (cond-mat.mtrl-sci)