Phases, Order Parameters, and Phase Transitions - Lecture 1
Explore fundamental concepts of phase transitions, order parameters, and their relationships in condensed matter physics through expert insights and theoretical frameworks.
Physics of Flocking - Class 1
Explore the physics of flocking behavior in active matter systems, focusing on fundamental principles and collective dynamics in biological and artificial systems.
Wasserstein Gradient Flows and Applications to Sampling in Machine Learning - Lecture 1
Explore Wasserstein gradient flows and their applications to sampling in machine learning through an in-depth lecture by Anna Korba.
Wasserstein Gradient Flows and Applications to Sampling in Machine Learning - Lecture 3
Explore Wasserstein gradient flows and their applications to sampling in machine learning with Anna Korba's advanced lecture on this complex mathematical topic.
2D Percolation Revisited
Explore 2D percolation theory with Fields Medalist Stanislav Smirnov in this IMPA 70th anniversary conference talk. Gain insights into advanced mathematical concepts and recent developments in the field.
Quantum Criticality on a Compressible Lattice
Explore quantum criticality on compressible lattices through Lorentz-invariant Φ4 theory, examining renormalization group equations and their implications for dynamical exponents and fixed-points.
Wigner's Semicircle Distribution as Limit Distribution
Explore the Wigner distribution as a limit of eigenvalue distributions in random matrices, with a focus on probability theory and mathematical analysis.
Construction of Real-Time Local Quantum Field in 1+1 Dimensions
Explore real-time local quantum field construction in 1+1-dimensions using renormalization group techniques and operator-algebraic formulations, avoiding imaginary-time settings.
Nonequilibrium Response Theory for Soft and Active Matter
Explore nonequilibrium statistical physics for colloidal suspensions and active particles using the ITT framework. Examine stochastic processes, nonlinear response, and applications in shear and microswimmers.
Phi^4 Theory and the Ising Model on a Sphere
Explore phi^4 theory and Ising model on spherical geometry, gaining insights into advanced physics concepts and their applications.
Unraveling Opinion Dynamics - Insights from Network Science and the Ising Model
Explore opinion dynamics using network science and the Ising model. Discover how network topologies influence opinion formation and evolution across diverse structures, with insights from statistical physics simulations.
Self-Avoiding Walk, Spin Systems, and Renormalisation - Clay Math Public Lecture
Explore self-avoiding walks, spin systems, and renormalisation in mathematics with Professor Gordon Slade. Gain insights into stochastic systems for anomalous diffusion in this Clay Math Public Lecture.
Action Matching: Learning Stochastic Dynamics from Samples
Learn stochastic dynamics from samples using action matching techniques. Explore innovative approaches to understanding and modeling complex systems through data-driven methods.
The Physics of LDPC Codes - Part 2
Explore advanced concepts of Low-Density Parity-Check codes in quantum systems, focusing on their applications in ultra-quantum matter and error correction techniques.
The Physics of LDPC Codes - Part 3
Explore advanced concepts in Low-Density Parity-Check codes, focusing on their applications in quantum error correction and ultra-quantum matter physics.
Tensor Networks
Explore tensor networks' applications in quantum physics, condensed matter, and machine learning with expert David Pérez-García in this comprehensive workshop.
A Markov Chain Theory of Self-Organization in Nonequilibrium Systems
Explore the groundbreaking theory of 'rattling' in nonequilibrium systems and its role in predicting ordered states across scientific domains, from living systems to statistical mechanics.
Renormalization Group Theory and Applications - Lecture 1
Delve into the fundamentals of Renormalization Group theory through an introductory lecture exploring climate dynamics, network analysis, and their applications to understanding complex climate systems and phenomena.
Renormalization Group II - Lecture 2
Delve into advanced concepts of Renormalization Group theory in climate dynamics and networks, focusing on analytical methods and characterizers for climate system predictions and bifurcation behavior.
A First-Principles Approach to Understanding Deep Learning
Delve into the fundamental principles of deep learning through statistical physics, exploring connections between neural networks, Gaussian processes, and scaling laws with insights from a DeepMind researcher.
Broken Symmetries in Living Matter
Explore the fundamental principles of nonequilibrium living systems, focusing on broken symmetries, emergent behaviors, and the unique properties of active matter through experimental and theoretical frameworks.