Primary damage and electronic effects in Si with machine learning-driven molecular dynamics - Atomic structure of final defects
Beskrivning
This dataset contains the atomic structure of survived defects, induced from self-irradiated silicon with different primary knock-on atom (PKA) energies. The molecular dynamics simulations were performed with the Gaussian approximation machine learning potential, GAP, using the TurboGAP code. In the simulations, a first-principles-derived model for the electronic stopping power was employed. More information about the simulation details is provided in the corresponding README file.
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2025
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Upphovspersoner
Department of Applied Physics
Ali Hamedani - Upphovsperson
Fairdata - Utgivare
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