
Delve into quantum thermodynamics and information processing, exploring fundamental limits of accuracy in relation to nonequilibrium resources and their implications for quantum computing systems.

Explore phase transitions and self-assembly in active matter systems, from bird flocks to nanorobots. Analyze statistical models, emergent behaviors, and out-of-equilibrium dynamics in collective motion phenomena.

Explore computational modeling techniques for active systems, focusing on advanced concepts and practical applications in the field of active matter.

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.

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.