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Related papers: The 2024 Motile Active Matter Roadmap

200 papers

This paper develops a conceptual extension of the Kinetic Theory of Active Particles, building upon the framework introduced in [2]. Living systems cannot be adequately described within classical single-scale paradigms, even when refined.…

Dynamical Systems · Mathematics 2026-04-22 Diletta Burini , Damian A. Knopoff

Active matter is ubiquitous in biology and becomes increasingly more important in materials science. While numerous active systems have been investigated in detail both experimentally and theoretically, general design principles for…

Applied Physics · Physics 2020-12-22 Henrik Ronellenfitsch , Jörn Dunkel

Transport at microscopic length scales is essential in biological systems and various technologies, including microfluidics. Recent experiments achieved self-organized transport phenomena in microtubule active matter using light to modulate…

Soft Condensed Matter · Physics 2021-08-02 Dominik Schildknecht , Matt Thomson

Non-motile active matter exhibits a wide range of non-equilibrium collective phenomena yet examples are crucially lacking in the literature. We present a microscopic model inspired by the bacteria {\it Neisseria Meningitidis} in which…

Soft Condensed Matter · Physics 2022-09-21 Henry Alston , Andrew O. Parry , Raphaël Voituriez , Thibault Bertrand

Natural active systems routinely reshape and reorganize their environments through sustained local interactions. Examples of decentralized collective construction are common in nature, e.g., many insects achieve large-scale constructions…

Soft Condensed Matter · Physics 2025-11-04 Yuchen Xi , Tom Marzin , P. -T. Brun

We present an innovative robotic device designed to provide controlled motion for studying active matter. Motion is driven by an internal vibrator powered by a small rechargeable battery. The system integrates acoustic and magnetic sensors…

Robotics · Computer Science 2024-11-05 M. Noirhomme , I. Mammadli , N. Vanesse , J. Pande , A. -S. Smith , N. Vandewalle

Throughout our history, we, humans, have sought to better control and understand our environment. To this end, we have extended our natural senses with a host of sensors-tools that enable us to detect both the very large, such as the…

Biological Physics · Physics 2023-06-09 Kherim Willems

A complex system is a system composed of many interacting parts, often called agents, which displays collective behavior that does not follow trivially from the behaviors of the individual parts. Examples include condensed matter systems,…

Statistical Mechanics · Physics 2011-12-08 M. E. J. Newman

We propose an artificial life framework aimed at facilitating the emergence of intelligent organisms. In this framework there is no explicit notion of an agent: instead there is an environment made of atomic elements. These elements contain…

Neural and Evolutionary Computing · Computer Science 2021-01-20 Karol Gregor , Frederic Besse

Activity and renewability are distinctive features of living matter, and constitute a new class of materials that we term renewable active matter. A striking example is the cell cytoskeleton, where myosin filaments bind to the actin…

Soft Condensed Matter · Physics 2025-05-27 M. Abhishek , Ankit Dhanuka , Deb Sankar Banerjee , Madan Rao

Active nematics are dense systems of rodlike particles that consume energy to drive motion at the level of the individual particles. They exist in natural systems like biological tissues and artificial materials such as suspensions of…

Soft Condensed Matter · Physics 2023-12-14 Yunrui Li , Zahra Zarei , Phu N. Tran , Yifei Wang , Aparna Baskaran , Seth Fraden , Michael F. Hagan , Pengyu Hong

One of the most important aims of the fields of robotics, artificial intelligence and artificial life is the design and construction of systems and machines as versatile and as reliable as living organisms at performing high level…

Artificial Intelligence · Computer Science 2014-12-24 Hector Zenil

Throughout the evolution of biological species on Earth, cells and organs have developed many complex structures and processes to ensure their interactions with individual chemical molecules (small and macromolecular) and nanoscale objects…

Biological Physics · Physics 2021-01-12 Kenneth A. Dawson

Creating autonomous, self-supporting, self-replicating, sustainable systems is a great challenge. To some extent, understanding life means not only being able to create it from scratch, but also improving, supporting, saving it, or even…

Robotics · Computer Science 2011-11-07 Serge Kernbach

Robotic materials are multi-robot systems formulated to leverage the low-order computation and actuation of the constituents to manipulate the high-order behavior of the entire material. We study the behaviors of ensembles composed of smart…

Robotics · Computer Science 2018-02-15 Ross Warkentin , William Savoie , Daniel I. Goldman

The transport of motile entities across modulated energy landscapes plays an important role in a range of phenomena in biology, colloidal science and solid-state physics. Here, an easily implementable strategy that allows for the collective…

Soft Condensed Matter · Physics 2020-03-11 Fernando Martínez-Pedrero , Francisco Ortega , Ramón G. Rubio , Carles Calero

Dense active matter, from bacterial suspensions and microtubule bundles driven by motor proteins to cellular monolayers and synthetic Janus particles, is characterised by mesoscale turbulence, the emergence of chaotic flow structures. By…

Soft Condensed Matter · Physics 2016-06-22 Sumesh P. Thampi , Amin Doostmohammadi , Tyler N. Shendruk , Ramin Golestanian , Julia M. Yeomans

Nonreciprocal interactions in active matter are known to generate exotic mechanical behaviors such as odd elasticity and odd viscosity. However, these phenomena have largely been studied in isolation, raising a fundamental question: Is…

This paper is a first step to chase the ambitious objective of developing a mathmatical theory of living systems. The contents refer modeling large systems of interacting living entities with the aim of describing their collective behaviors…

Neuromorphic computing aspires to overcome the intrinsic inefficiencies of von Neumann architectures by co-locating memory and computation in physical devices that emulate biological neurons and synapses. Memristive materials stand at the…

Mesoscale and Nanoscale Physics · Physics 2026-03-06 Salvador Cardona-Serra