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Programmable active matter across scales

Hengao Yu, Yulei Fu, Xin-Li Zhang, L. X. Chen, Duo Qi, Jinzhuo Shi, Wendong Wang

发表年份
2023
引用次数
11
访问权限
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摘要

Abstract Programmable active matter (PAM) combines information processing and energy transduction. The physical embodiment of information could be the direction of magnetic spins, a sequence of molecules, the concentrations of ions, or the shape of materials. Energy transduction involves the transformation of chemical, magnetic, or electrical energies into mechanical energy. A major class of PAM consists of material systems with many interacting units. These units could be molecules, colloids, microorganisms, droplets, or robots. Because the interaction among units determines the properties and functions of PAMs, the programmability of PAMs is largely due to the programmable interactions. Here, we review PAMs across scales, from supramolecular systems to macroscopic robotic swarms. We focus on the interactions at different scales and describe how these (often local) interactions give rise to global properties and functions. The research on PAMs will contribute to the pursuit of generalised crystallography and the study of complexity and emergence. Finally, we ponder on the opportunities and challenges in using PAM to build a soft-matter brain.

关键词

SpinsActive matterSupramolecular chemistryNanotechnologySoft matterTransduction (biophysics)Chemical physicsBiological systemMoleculeComputer science

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