
Explores the impact of interaction potential on structure-dynamics correlations in soft matter systems, highlighting key insights for researchers in condensed matter physics and materials science.

Explore nonlocal evolution equations, focusing on Surface Quasi-Geostrophic equation and its generalizations. Examine regularity, long-term dynamics, and dissipation in 2D SQG.

Explore universal stress correlations in crystalline and amorphous packings, examining fundamental concepts and their applications in soft and living matter physics.

Explore the dynamics of charged macromolecules in this comprehensive lecture, covering fundamental concepts and advanced theories in soft matter physics and polymer science.

Explore the Mpemba effect in colloidal systems, focusing on population statistics and metastability. Gain insights into this counterintuitive phenomenon and its implications for soft matter physics.

Explore morphogenetic decoding of positional information in biological systems, examining how cells interpret spatial cues during development and tissue formation.

Experimental validation of static correlations in supercooled liquids using soft-pinning techniques, exploring fundamental concepts in soft matter physics and their applications to material design.

Explore non-reciprocality, translational order, and chirality in active matter systems. Gain insights into fundamental concepts and emerging research in soft and living matter physics.

Explore turbulence in living fluids and its impact on various states of matter. Gain insights into the fascinating intersection of physics, biology, and fluid dynamics in this engaging lecture.

Explore ferronematics and living liquid crystals, focusing on their unique properties and behavior when combined with inclusions. Learn about cutting-edge research in soft matter physics.

Explore the fascinating journey of liquid crystals from their discovery in carrots to their application in flat screens, revealing their impact on technology and daily life.

Explore the fascinating flow dynamics of everyday substances like shampoos, lotions, and clays. Discover the physics behind their unique behaviors when subjected to external forces.

Explore generative machine learning for data-driven modeling and reductions in scientific simulations, focusing on GD-VAEs and SDYN-GANs for non-linear dynamics and stochastic systems.