
Explore biological dynamics using physics tools to model predator-prey oscillations, ecosystem chaos, and microbial swimming. Learn to predict species competition, population changes, and collective behavior in fluids.

Explore critical phenomena in the Ising model, from its origins in ferromagnetism to recent breakthroughs in three and four dimensions using probabilistic interpretations and percolation models.

Explore self-organized criticality in activated random walk models, examining critical densities across various configurations and their implications for understanding energy release patterns in physical systems.

Annual discussion meeting for Indian statistical physics community, covering diverse topics from quantum fluids to complex systems. Fosters collaboration among scientists, postdocs, and students in the field.

Explore black hole dynamics in higher dimensions, examining theoretical insights and implications for gravitational physics and field theory in this advanced physics lecture.

Explore a theory combining classical and quantum systems, applying it to general relativity to explain galactic rotation curves without dark matter through stochastic spacetime processes.

Explore the Random Field Ising Model, Parisi-Sourlas supersymmetry, and dimensional reduction. Delve into recent theories explaining numerical evidence and potential loss of supersymmetry in specific dimensions.

Explore the Random Field Ising Model, Parisi-Sourlas supersymmetry, and dimensional reduction. Delve into recent theories explaining numerical evidence and potential loss of supersymmetry in specific dimensions.

Explore the Random Field Ising Model, Parisi-Sourlas supersymmetry, and dimensional reduction. Delve into recent theories explaining numerical evidence and potential loss of supersymmetry in specific dimensions.

Explore the Random Field Ising Model, Parisi-Sourlas supersymmetry, and dimensional reduction. Delve into recent theories explaining numerical evidence and potential loss of supersymmetry in specific dimensions.

Explore self-organized criticality in hierarchical modular networks, focusing on Galves-Löcherbach neurons and their implications for complex systems.

Explore Fokker-Planck equations in neuron networks, focusing on time periodic solutions and their implications for neural dynamics.

Explore metastable spiking networks in the replica-mean-field limit, focusing on advanced concepts in neural dynamics and statistical physics.

Explore new insights on multiple equilibria emergence in large, highly interactive ecosystems, focusing on theoretical advancements and practical implications.

Explore high-dimensional ecological communities and their interaction patterns, gaining insights into complex ecosystem dynamics and relationships.

Explore the intricacies of stochastic gravitational wave backgrounds in this advanced physics lecture, delving into theoretical concepts and current research developments.

Explore the intricacies of stochastic gravitational wave backgrounds in this advanced physics lecture, delving into theoretical concepts and their implications for cosmology.

Explore the interplay between nuclear structure and astrophysics, focusing on the equation of state and its implications for understanding cosmic phenomena.

Explore connections between random matrices and statistical physics, delving into advanced mathematical concepts and their applications in complex systems analysis.

Explore equilibrium dynamics and gradient descent in disordered systems, focusing on theoretical concepts and practical applications in statistical physics and optimization.

Explore advanced concepts in disordered system dynamics, focusing on theoretical frameworks and analytical techniques for understanding complex physical phenomena.