S. Abedi
Grade:
PHD
| سعید عابدی | |
| Full name: | Saeid Abedi |
| Time (PhD): | Sep. 2019 - present |
| Time (MSc): | Sep. 2017 - Sep. 2109 |
| Research (PhD): | Machine learning modeling of semiconductor band gaps |
| Research (MSc): | Topological properties of bulk and monolayers of AlB2 |
| Methods: | Machine learning with Python, Density Functional Theory, Full potential numeric atom-center orbital, Full potential linear augmented plane wave method, Maximally localized wannier functions |
| Packages: | Python, FHI-aims, Wien2k, Quantum-Espresso, Wannier90 |
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Publications: |
Statistical analysis of the performance of a variety of first-principles schemes for accurate prediction of binary semiconductor band gaps, Saeid Abedi, Mahdi Tarighi Ahmadpour, Samira Baninajarian, Hamideh Kahnouji, S. Javad Hashemifar, Zhong-Kang han, and Sergey Levchenko, The Journal of Chemical Physics 158, pages 184109, May 2023 Prediction of novel two-dimensional Dirac nodal line semimetals in Al2B2 and AlB4 monolayers, Saeid Abedi, Esmaeil Taghizadeh Sisakht, S. Javad Hashemifar, NG Cherati, IA Sarsari, FM Peeters, Nanoscale 14 (31), pages 11270-11283, Jun. 2022 |
