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Collaborations and top research areas from the last five years
Research output
- 2 Article
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Data-efficient machine-learning interatomic potential for studying radiation effects in germanium
Jin, R., Hamedani, A. & Sand, A. E., 1 Feb 2026, In: Machine Learning: Science and Technology. 7, 1, p. 1-19 19 p., 015012.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile2 Downloads (Pure) -
Improved capabilities of the TurboGAP code for radiation induced cascade simulations : An illustration with silicon
Saha, U., Hamedani, A., Caro, M. A. & Sand, A. E., 10 Mar 2026, In: Computational Materials Science. 267, p. 1-12 12 p., 114560.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile3 Downloads (Pure)
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MUST: Comprehensive multiscale modelling of atomistic and electronic structure of radiation-induced defects in semiconductors
Sand, A. (Principal investigator), Kiely, G. (Project Member), Hamedani, A. (Project Member), Krishnakumar, H. (Project Member), Jin, R. (Project Member), Abdelalim, A. (Project Member) & Núñez, C. (Project Member)
01/03/2023 → 28/02/2027
Project: EU Horizon Europe ERC
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ExaFF/Sand: Exascale-ready machine learning force field
Sand, A. (Principal investigator), Konggaard, N. (Project Member), Kirov, C. (Project Member), Saha, U. (Project Member), Shah, H. (Project Member), Vihuri, S. (Project Member), Hamedani, A. (Project Member), Davies, T. (Project Member), Ene, C. (Project Member), Fangnon, A. (Project Member), Korepanova, N. (Project Member), Jin, R. (Project Member) & Caetano Semião, B. (Project Member)
01/01/2022 → 31/12/2024
Project: RCF Academy Project targeted call
Datasets
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Primary damage and electronic effects in Si with machine learning-driven molecular dynamics - Atomic structure of final defects
Hamedani, A. (Creator), Fairdata , 17 Apr 2025
DOI: 10.23729/fd-d9a0b313-1481-37b7-926d-b858f76c035a, https://etsin.fairdata.fi/dataset/2886585c-6430-475b-b517-d13b76b40063
Dataset
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Machine learning interatomic potential for studying radiation effects in germanium - The dataset
Jin, R. (Creator), Hamedani, A. (Contributor) & Sand, A. (Contributor), Fairdata , 4 Aug 2025
DOI: 10.23729/fd-7b657799-083c-364d-b456-04c393420aa9
Dataset
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Research data for: "SiC-TGAP: A machine learning interatomic potential for radiation damage simulations in 3C-SiC"
Hamedani, A. (Creator) & E. Sand, A. (Creator), Zenodo, 23 Sept 2025
Dataset