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John Sous is a Professor at Yale University, specializing in Applied Physics. His research centers on the study of systems with degrees of freedom correlations, aiming to uncover novel behaviors and functionalities that can be applied in future-generation technologies and materials with limited energy. He strives to provide a unifying understanding of interacting statistical systems. His specific research interests include correlated quantum matter, focusing on quantum materials, ultracold atoms, and molecules, as well as dynamical non-linear systems, particularly in the context of optically driven quantum systems and neural learning models. Sous has received several prestigious awards, including the Air Force Scientific Research Young Investigator Program Award and the Gordon Betty Moore Foundation Postdoctoral Fellowship at Stanford University. His notable publications span various topics in theoretical physics, showcasing his contributions to the understanding of superconductivity and quantum mechanics. He is actively engaged in research that pushes the boundaries of material science and quantum physics, consistently contributing to the advancement of knowledge in these fields.
Administered via the Graduate School of Arts and Sciences (GSAS). GRE General is optional for PhD.