Primary damage and electronic effects in Si with machine learning-driven molecular dynamics - Atomic structure of final defects
Kuvaus
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.
Näytä enemmänJulkaisuvuosi
2025
Aineiston tyyppi
Tekijät
Ali Hamedani - Julkaisija, Tekijä
Projekti
Muut tiedot
Tieteenalat
Kieli
Saatavuus
Avoin