
Dive into the intricacies of TASEP in Half-space with Xincheng Zhang's insightful seminar, exploring advanced concepts in probability theory and statistical mechanics.

Découvrez les modèles de dynamique sociale à travers le parcours d'une mathématicienne spécialiste des équations aux dérivées partielles. Explorez les systèmes de particules en interaction et les systèmes sur graphes.

Explore quantitative homogenization of interacting particle systems with Jean-Christophe Mourrat. Gain insights into functional inequalities, optimal transport, and particle systems in this advanced mathematics lecture.

Explore hydrodynamics, fluctuations, and universality in interacting particle systems with Patrícia Gonçalves at IMPA's 70th anniversary conference, featuring insights from leading mathematicians worldwide.

Explore high-dimensional geometry through pathwise analysis, revealing simple structures in complex spaces and their applications in probability theory and statistical physics.

Explore the intersection of geometry and complex networks, uncovering powerful applications in network science, data analysis, and modeling real-world systems.

Explores KPZ universality in particle systems, growth models, and polymers, discussing limit theorems, integrable methods, and recent results on periodic domains.

Explore entropic Ricci curvature bounds and their applications to interacting particle systems, focusing on functional inequalities and convergence rates to equilibrium in nonnegative curvature scenarios.

Explore color-position symmetry in particle systems, covering probability, partition functions, and stochastic processes. Gain insights into ASEP and simulation techniques.

Explore stochastic processes in this advanced lecture, covering key concepts and applications in statistical physics for graduate-level students and researchers.

Explore interacting particle systems and their macroscopic behavior through hydrodynamic limits, deriving models for interface motion in phase separation, species segregation, and coupled KPZ equations.

Explore hydrodynamic limits and condensing zero range processes in interacting particle systems. Learn about phase separation, relative entropy method, and non-closed hydrodynamic descriptions.

Explore path convergence of Markov chains on large graphs, examining theoretical aspects and applications in network science, probability theory, and complex systems analysis.

Explore algorithms for network analysis, optimization, and control. Learn techniques for solving complex problems on graphs and networks, with applications in various fields.

Explore spin systems on spatial random graphs, examining their properties, dynamics, and applications in network science and statistical physics.

Explore fluid-based methods for best arm identification in multi-armed bandit problems. Learn innovative techniques to optimize decision-making in uncertain environments.

Explore well-posedness of Hamilton-Jacobi equations for linearly controlled gradient flows, examining mathematical foundations and applications in optimization and control theory.

Explore asymptotics of invariant measures in mean-field Markov models on countable spaces. Gain insights into network science, probability theory, and applications in complex systems and data analysis.

Explore graph limits for interacting particle systems on weighted deterministic and random structures in this advanced mathematical lecture.

Explore steady states and dynamics of aggregation-diffusion equations in this advanced mathematics lecture by Yao Yao, part of a thematic meeting on interacting particle systems.

Explore steady states and dynamics of the aggregation-diffusion equation in this advanced mathematics lecture by Yao Yao at CIRM's thematic meeting on interacting particle systems.