Skip to Main content Skip to Navigation
Conference papers

Developing a Neural Network potential to investigate interface phenomena in solid-phase epitaxy

Ruggero Lot 1, 2 Layla Martin-Samos 3 Stefano de Gironcoli 2 Anne Hémeryck 1 
1 LAAS-M3 - Équipe Modélisation Multi-niveaux des Matériaux
LAAS - Laboratoire d'analyse et d'architecture des systèmes
2 SISSA / ISAS - Scuola Internazionale Superiore di Studi Avanzati / International School for Advanced Studies
3 IOM - CNR Istituto Officina dei Materiali
Abstract : In this work, we develop a new neural network potential for silicon and perform accurate molecular dynamics simulations of the liquid, amorphous and diamond phases. The potential is tested against several physical properties and the solid phase epitaxy process is simulated.
Document type :
Conference papers
Complete list of metadata
https://hal.laas.fr/hal-03375965
Contributor : Anne Hemeryck Connect in order to contact the contributor
Submitted on : Wednesday, October 13, 2021 - 11:00:10 AM
Last modification on : Monday, July 4, 2022 - 9:45:17 AM
Long-term archiving on: : Friday, January 14, 2022 - 6:43:33 PM

File

Vignette du document
nmcd_2021(2).pdf
Files produced by the author(s)

Identifiers

Collections

UNIV-TLSE2 | UNIV-TLSE3 | CNRS | INSA-TOULOUSE | LAAS | UT1-CAPITOLE | LAAS-MICRO-NANO-BIO-TECHNOLOGIES | LAAS-M3 | LAAS-SYSTEMES-COMPLEXES | INSA-GROUPE | UNIV-UT3

Citation

Ruggero Lot, Layla Martin-Samos, Stefano de Gironcoli, Anne Hémeryck. Developing a Neural Network potential to investigate interface phenomena in solid-phase epitaxy. 16th IEEE Nanotechnology Materials and Devices Conference (IEEE NMDC 2021), Dec 2021, Vancouver, Canada. ⟨10.1109/NMDC50713.2021.9677541⟩. ⟨hal-03375965⟩

Export

BibTeX TEI DC DCterms EndNote Datacite

Share

Metrics

Record views

17

Files downloads

1