Dynamical Mean-Field Theory in Non-Equilibrium Many-Body Statistical Physics - Giulio Biroli
Offered By: Kavli Institute for Theoretical Physics via YouTube
Course Description
Overview
Explore the cutting-edge applications of Dynamical Mean-Field Theory in non-equilibrium many-body statistical physics through this 31-minute conference talk delivered by Giulio Biroli at the Kavli Institute for Theoretical Physics. Delve into advanced topics such as aging, glassy dynamics, and high-dimensional chaos as part of the 2021 Non-Equilibrium Universality in Many-Body Physics KITP Conference. Gain insights into the emerging field of non-equilibrium many-body physics, sparked by the advent of quantum simulators, and discover how it bridges diverse scientific disciplines including statistical physics, AMO, condensed matter, and high-energy physics. Examine novel phases of matter far from equilibrium and their associated universality classes, exploring concepts like short-time universality, entanglement dynamics, and mappings between classical and quantum non-equilibrium systems. Understand the potential for cross-pollination between high-energy physics and non-equilibrium condensed and AMO systems, with a focus on experimental realizations that can enhance our understanding of far-from-equilibrium universality.
Syllabus
Dynamical Mean-Field Theory in Non-Equilibrium Many-Body Statistical Physics... ▸ Giulio Biroli
Taught by
Kavli Institute for Theoretical Physics
Related Courses
An Efficient and Accurate Approach to Strongly Correlated MaterialsMuST Program for Disordered Materials via YouTube Twisted Transition Metal Dicalcogenides - Tests of Quantum Embedding and Theories
Institute for Pure & Applied Mathematics (IPAM) via YouTube Basics of Dynamical Mean Field Theory
International Centre for Theoretical Sciences via YouTube Infinite Limits and Scaling Laws of Neural Networks
Institute for Pure & Applied Mathematics (IPAM) via YouTube CECAM-MARVEL Classics: Molecular and Materials Modelling with Antoine Georges and Gabriel Kotliar
Materials Cloud via YouTube