Active Matter is a new and exciting field of Materials Science. In Active Matter, the systems are out of equilibrium, consuming energy that is translated into a variety of emergent phenomena, including collective motion and dynamic self-assembly. This type of phenomena is prevalent in living systems, and one of the goals in the field is to create non-living systems that behave similarly. Understanding of the underlying collective properties of active matter, including how to distinguish and classify its different states, is very challenging, yet it may hold the key to grasping the mechanics and statistics of living systems. Indeed, work in active matter is expected to have applications in soft condensed matter, robotics, microbiology, and biotechnology, to mention a few. To enable advancing in those directions, it is necessary to have a comprehensive approach in which theory and experiment work together to design and effectively explore active materials. This is challenging, not only because experimental techniques for observing these kind of phenomena, especially at the small length and time scales, are taxing, but also because of there are strong correlations that span broad length and times scale.  Many of these same issues also plague traditional computational approaches, leading toward relying on computational techniques, such as agent-based models, where the forces are not accurately described.

This symposium will bring together world experts in the field of collective motion and dynamic self-assembly in Active Matter, with the goal of identifying the major roadblocks that hinder our advance and developing synergies between experiment and theory.

Symposium Topics

  • Current state   of   experiments   on   active   matter
  • Current state   of   theoretical   treatments   of   active   matter   systems
  • Synergies between experiment and theory for designing active matter systems

Invited Speakers

Thierry Emonet, Department of Physics, Yale University

Denis Bartolo, Université de Lyon and CNRS

Bobby G. Sumpter and Ilia Ivanov, Oak Ridge National Laboratory

Victor Dossetti, Benemerita Universidad Autónoma de Puebla

Francisco Sevilla, Universidad Nacional Autónoma de México

Oleg Lavrentovich, Kent State University

Fernando Peruani, Universite Nice Sophia Antipolis

David Hu, Georgia Institute of Technology

Cristian Huepe, Northwestern University