معرفی
Ali Hamedani is a Postdoctoral Researcher focusing on computational materials science and radiation damage analysis. He has contributed to multidisciplinary projects involving machine learning interatomic potentials and multiscale modeling of radiation-induced defects.
- Department of Applied Physics
- Nuclear Materials and Engineering
His research spans Materials Science, Computational Physics, and Nuclear Engineering, with applications in:
- Radiation damage in semiconductors and ceramics
- Machine learning-driven molecular dynamics
- High-pressure material behavior
- Perovskite solar cell optimization
Recent work highlights trends in silicon defect analysis, ZrC/ ZrN ceramics, and multi-objective optimization of energy materials. Publications emphasize cross-disciplinary approaches combining first-principles calculations with machine learning.
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