Celine Halkali
1 - 5 out of 5Page size: 10
Research output
- 2024
- Published
Atomistic investigations of SiC polytypes and creation of machine learning interatomic potential
Reichmann, A., Rajabzadeh, Z., Halkali, C., Hammer, R. & Romaner, L., 2024.Research output: Contribution to conference › Poster › Research › peer-review
- Published
Development of a machine learning-based interatomic potential for silicon carbide (SiC) using atomic cluster expansion (ACE)
Halkali, C., Holub, G., Rajabzadeh, Z. & Romaner, L., 2024.Research output: Contribution to conference › Poster › Research › peer-review
- 2023
- Published
DFT modelling of crystallographic defects in SiC polytypes
Rajabzadeh, Z., Halkali, C., Hammer, R. & Romaner, L., 2023.Research output: Contribution to conference › Poster › Research
- Published
Interatomic potentials with ab-initio accuracy for defect and growth simulations in SiC
Halkali, C., Rajabzadeh, Z. & Romaner, L., 2023.Research output: Contribution to conference › Poster › Research › peer-review
- 2022
- Published
Development of a semi-automated molecular dynamics workflow for testing interatomic potentials against ab-initio data
Halkali, C., 2022Research output: Thesis › Master's Thesis
