Michele Simoncelli

Simoncelli's research ranges from quantum theories to real-world technologies, and is structured around three core streams: the formulation of equations that relate the quantum behavior of atoms to macroscopic experimental observables; the development of physics-aware AI simulation methods to quantitatively predict materials properties from first principles; and the integrated application of these approaches to design and discover materials for the storage and management of information or energy—innovating on existing technologies in collaboration with industry, or even exploring new ones.

He is Assistant Professor of Applied Physics and Applied Mathematics in the Department of Applied Physics and Applied Mathematics.