Research output per year
Research output per year
Personal profile
Fields of Science
- 114 Physical sciences
- Computational physics
- Materials physics
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Computational study of sputtering of tungsten-based refractory high-entropy alloys
Bergero, A., Byggmästar, J. & Granberg, F., 17 Jul 2026, In: Journal of Nuclear Materials. 632, 10 p., 156915.Research output: Contribution to journal › Article › Scientific › peer-review
Open Access -
Effects of training machine-learning potentials for radiation damage simulations using different pseudopotentials
Fellman, A., Byggmästar, J., Granberg, F., Djurabekova, F. & Nordlund, K., 30 Jan 2026, In: Computational Materials Science. 262, 14 p., 114398.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile -
Efficient training of machine learning potentials for metallic glasses: CuZrAl validation
Wadowski, A., Parmar, A. D. S., Kaśkosz, F., Byggmästar, J., Wróbel, J. S., Alava, M. J. & Bonfanti, S., May 2026, In: Materials and design. 265, 9 p., 115985.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile -
Four Regimes of Primary Radiation Damage in Tungsten
Byggmästar, J., Yli-Suutala, V.-M., Fellman, A., Åström, J. A., Westerholm, J. & Granberg, F., 21 Jul 2026, In: Physical Review Letters. 137, 4, 6 p., 046101.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile -
Insights into radiation damage in YBa2Cu3O7−δ from machine learned interatomic potentials
Dickson, A., Eugenio, N. D., Ledda, F., Torsello, D., Laviano, F., Djurabekova, F., Byggmästar, J., Gilbert, M. R., Nguyen-Manh, D., Gallo, E., Trotta, A., Gambino, D. & Murphy, S. T., Jun 2026, In: Superconductivity. 18, 17 p., 100264.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile
Projects
- 2 Active
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Optimising and characterising refractory alloys with machine-learning interatomic potentials (OCRAMLIP)
Byggmästar, J. (Project manager), Lopes, T. V. (Participant) & Wei, G. (Participant)
Suomen Akatemia Projektilaskutus
01/09/2023 → 31/08/2027
Project: Research Council of Finland: Academy Research Fellow
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FCAI: Suomen tekoälykeskus
Myllymäki, P. (Project manager), Al-Tahmeesschi, A. A. J. (Participant), Byggmästar, J. (Participant), Chang, P. (Participant), Clarté, G. C. (Participant), Daubaris, P. (Participant), Erarslan, A. U. (Participant), Gharib, S. (Participant), Jamshidi, A. (Participant), Jääsaari, E. (Participant), Kokko, J. E. (Participant), Kotkov, D. (Participant), Kuczkowski, D. A. (Participant), Luu, H. P. H. (Participant), Ma, J. (Participant), Mikkola, P. (Participant), Remes, U. (Participant), Tobaben, M. (Participant), Viippola, E. H. (Participant), Xu, Y. (Participant), Zhang, S. (Participant) & Zhao, L. (Participant)
Suomen Akatemia Projektilaskutus
01/09/2022 → 31/12/2026
Project: Research Council of Finland: Finnish Flagship Programme