Ali Hamedani

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.