Nadav Moav is a PhD student in Materials Science and Engineering at Tel Aviv University. His research centers on computational modeling of alloys and disordered materials, combining density functional theory (DFT), special quasirandom structures (SQS), and evolutionary algorithms to study their thermodynamic stability, atomic structure, and different properties.

By integrating high-performance computing (HPC) with data-driven approaches, Nadav aims to accelerate the discovery of functional and sustainable materials for energy, catalytic, and electronic applications.

Driven by a passion for connecting first-principles theory with practical materials design, his work bridges computational modeling, data science, and materials engineering to advance the understanding of complex systems.