معرفی
John Sous is an Assistant Professor of Applied Physics at Yale University. His research focuses on complex quantum systems with strong correlations, exploring novel functionalities for future technologies such as energy materials. Key areas include correlated quantum matter (quantum materials, ultracold atoms/molecules) and dynamical nonlinear systems (optically driven quantum systems, neural learning models). He has been awarded the AFOSR Young Investigator Program Award (2024-2027) and the Gordon and Betty Moore Foundation Postdoctoral Fellowship (2022-2023). His work bridges theoretical physics and computational methods, with recent contributions to superconductivity theory, polaron dynamics, and topological protection mechanisms.
Notable research trends include investigation of bipolaronic superconductivity mechanisms, electron-phonon coupling effects, and quantum many-body systems under optical excitations. His studies often leverage advanced computational tools like the Generalized Green's function Cluster Expansion Python package. Collaborations with experimental groups and interdisciplinary efforts in AI applications (e.g., benchmarking foundation models) highlight his cross-cutting research approach.
- Key Awards: Nevill Mott Prize (2024), AFOSR YIP (2024), Moore Fellowship (2022)
Grant activities include Yale Engineering seed funding for AI-driven physics research. His advisory work focuses on graduate students in condensed matter and quantum physics domains.
