| Machine-learning interatomic potential for radiation damage and defects in tungsten J Byggmästar, A Hamedani, K Nordlund, F Djurabekova Physical Review B 100 (14), 144105, 2019 | 100 | 2019 |
| Modeling refractory high-entropy alloys with efficient machine-learned interatomic potentials: Defects and segregation J Byggmästar, K Nordlund, F Djurabekova Physical Review B 104 (10), 104101, 2021 | 77 | 2021 |
| Effects of the short-range repulsive potential on cascade damage in iron J Byggmästar, F Granberg, K Nordlund Journal of Nuclear Materials 508, 530-539, 2018 | 70 | 2018 |
| Defect structures and statistics in overlapping cascade damage in fusion-relevant bcc metals AE Sand, J Byggmästar, A Zitting, K Nordlund Journal of Nuclear Materials 511, 64-74, 2018 | 63 | 2018 |
| Gaussian approximation potentials for body-centered-cubic transition metals J Byggmästar, K Nordlund, F Djurabekova Physical Review Materials 4 (9), 093802, 2020 | 55 | 2020 |
| Collision cascades overlapping with self-interstitial defect clusters in Fe and W J Byggmästar, F Granberg, AE Sand, A Pirttikoski, R Alexander, ... Journal of Physics: Condensed Matter 31 (24), 245402, 2019 | 55 | 2019 |
| Cascade debris overlap mechanism of< 100> dislocation loop formation in Fe and FeCr F Granberg, J Byggmästar, AE Sand, K Nordlund Europhysics Letters 119 (5), 56003, 2017 | 51 | 2017 |
| Molecular dynamics simulations of high-dose damage production and defect evolution in tungsten F Granberg, J Byggmästar, K Nordlund Journal of Nuclear Materials 556, 153158, 2021 | 45 | 2021 |
| Radiation damage in tungsten from cascade overlap with voids and vacancy clusters A Fellman, AE Sand, J Byggmästar, K Nordlund Journal of Physics: Condensed Matter 31 (40), 405402, 2019 | 41 | 2019 |
| Defect accumulation and evolution during prolonged irradiation of Fe and FeCr alloys F Granberg, J Byggmästar, K Nordlund Journal of Nuclear Materials 528, 151843, 2020 | 32 | 2020 |
| Dynamical stability of radiation-induced C15 clusters in iron J Byggmästar, F Granberg Journal of Nuclear Materials 528, 151893, 2020 | 32 | 2020 |
| Tensile testing of Fe and FeCr nanowires using molecular dynamics simulations J Byggmästar, F Granberg, A Kuronen, K Nordlund, KOE Henriksson Journal of Applied Physics 117 (1), 2015 | 28 | 2015 |
| Simple machine-learned interatomic potentials for complex alloys J Byggmästar, K Nordlund, F Djurabekova Physical Review Materials 6 (8), 083801, 2022 | 27 | 2022 |
| Analytical bond order potential for simulations of BeO 1D and 2D nanostructures and plasma-surface interactions J Byggmästar, EA Hodille, Y Ferro, K Nordlund Journal of Physics: Condensed Matter 30 (13), 135001, 2018 | 26 | 2018 |
| Complex Ga2O3 polymorphs explored by accurate and general-purpose machine-learning interatomic potentials J Zhao, J Byggmästar, H He, K Nordlund, F Djurabekova, M Hua npj Computational Materials 9 (1), 159, 2023 | 21 | 2023 |
| Insights into the primary radiation damage of silicon by a machine learning interatomic potential A Hamedani, J Byggmästar, F Djurabekova, G Alahyarizadeh, R Ghaderi, ... Materials Research Letters 8 (10), 364-372, 2020 | 21 | 2020 |
| Analytical interatomic bond-order potential for simulations of oxygen defects in iron J Byggmästar, M Nagel, K Albe, KOE Henriksson, K Nordlund Journal of Physics: Condensed Matter 31 (21), 215401, 2019 | 19 | 2019 |
| Machine-learning interatomic potential for W–Mo alloys G Nikoulis, J Byggmästar, J Kioseoglou, K Nordlund, F Djurabekova Journal of Physics: Condensed Matter 33 (31), 315403, 2021 | 18 | 2021 |
| Cascade overlap with vacancy-type defects in Fe F Granberg, J Byggmästar, K Nordlund The European Physical Journal B 92, 1-7, 2019 | 18 | 2019 |
| Large-scale machine-learning molecular dynamics simulation of primary radiation damage in tungsten J Liu, J Byggmästar, Z Fan, P Qian, Y Su Physical Review B 108 (5), 054312, 2023 | 17 | 2023 |
Kai NordlundProfessor of Physics, University of HelsinkiVerified email at helsinki.fi
