How to derive a predictive active field theory: a step-by-step tutorial
Michael te Vrugt, Jens Bickmann, Raphael Wittkowski

TL;DR
This paper provides a detailed tutorial on deriving predictive field theories for active matter systems using the interaction-expansion method, facilitating systematic coarse-graining from microscopic models.
Contribution
It introduces and explains the interaction-expansion method for deriving active field theories, including a derivation of active model B+ from microscopic interactions.
Findings
Systematic derivation of active model B+ from microscopic models.
Clarification of the interaction-expansion method for coarse-graining.
Discussion of extensions and future applications of the method.
Abstract
The study of active soft matter has developed into one of the most rapidly growing areas of physics. Field theories, which can be developed either via phenomenological considerations or by coarse-graining of a microscopic model, are a very useful tool for understanding active systems. Here, we provide a detailed review of a particular coarse-graining procedure, the interaction-expansion method (IEM). The IEM allows for the systematic microscopic derivation of predictive field theories for systems of interacting active particles. We explain in detail how it can be used for a microscopic derivation of active model B+, which is a widely used scalar active matter model. Extensions and possible future applications are also discussed.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsMicro and Nano Robotics · Cold Atom Physics and Bose-Einstein Condensates · Characterization and Applications of Magnetic Nanoparticles
