Amanote Research
Register
Sign In
Discover open access scientific publications
Search, annotate, share and cite publications
Publications by J. Byggmästar
Machine-Learning Interatomic Potential for Radiation Damage and Defects in Tungsten
Physical Review B
Optical
Electronic
Condensed Matter Physics
Magnetic Materials
Related publications
Phonon Optimized Interatomic Potential for Aluminum
AIP Advances
Nanotechnology
Astronomy
Physics
Nanoscience
Optimizing Many-Body Atomic Descriptors for Enhanced Computational Performance of Machine Learning Based Interatomic Potentials
Physical Review B
Optical
Electronic
Condensed Matter Physics
Magnetic Materials
Trapping of Hydrogen Isotopes in Radiation Defects Formed in Tungsten by Neutron and Ion Irradiations
Journal of Nuclear Materials
High Energy Physics
Materials Science
Engineering
Nuclear Energy
Nuclear
Development of a Machine Learning Potential for Graphene
Physical Review B
Optical
Electronic
Condensed Matter Physics
Magnetic Materials
Magnesium Interatomic Potential for Simulating Plasticity and Fracture Phenomena
Modelling and Simulation in Materials Science and Engineering
Mechanics of Materials
Materials Science
Condensed Matter Physics
Simulation
Computer Science Applications
Modeling
Potential Radiation Damage: Storage Tanks for Liquid Radioactive Waste
In-Situ Helium Implantation and TEM Investigation of Radiation Tolerance to Helium Bubble Damage in Equiaxed Nanocrystalline Tungsten and Ultrafine Tungsten-TiC Alloy
Materials
Materials Science
Condensed Matter Physics
Natural Radiation-Induced Damage in Quartz. I. Correlations Between Cathodoluminence Colors and Paramagnetic Defects
Canadian Mineralogist
Petrology
Geochemistry
Direct Observations of the Primary State of Radiation Damage of Ion-Irradiated Tungsten and Platinum
Nuclear Instruments and Methods
Medicine
