Programmable active matter across scales

Hengao Yu, Yulei Fu, Xinli Zhang, Leilei Chen, Duo Qi, Jinzhuo Shi, Wendong Wang
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引用次数: 1

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.
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跨尺度可编程活性物质
可编程活性物质(PAM)结合了信息处理和能量转导。信息的物理体现可以是磁自旋的方向、分子序列、离子浓度或材料的形状。能量转导包括化学能、磁能或电能转化为机械能。PAM的一个主要类别由具有许多相互作用单元的材料系统组成。这些单位可以是分子、胶体、微生物、液滴或机器人。由于各单元之间的相互作用决定了系统的性能和功能,系统的可编程性很大程度上取决于可编程的相互作用。在这里,我们回顾了从超分子系统到宏观机器人群体的各个尺度的pam。我们关注不同尺度上的相互作用,并描述这些(通常是局部的)相互作用如何产生全局属性和功能。对PAMs的研究将有助于对广义晶体学的追求以及对复杂性和涌现性的研究。最后,我们思考了利用PAM构建软物质脑的机遇和挑战。
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