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昆虫群的状态方程。

An equation of state for insect swarms.

机构信息

Department of Civil and Environmental Engineering, Stanford University, Stanford, CA, 94305, USA.

Carl Von Ossietzky Universität Oldenburg, 26129, Oldenburg, Germany.

出版信息

Sci Rep. 2021 Feb 12;11(1):3773. doi: 10.1038/s41598-021-83303-z.

DOI:10.1038/s41598-021-83303-z
PMID:33580191
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7881103/
Abstract

Collective behaviour in flocks, crowds, and swarms occurs throughout the biological world. Animal groups are generally assumed to be evolutionarily adapted to robustly achieve particular functions, so there is widespread interest in exploiting collective behaviour for bio-inspired engineering. However, this requires understanding the precise properties and function of groups, which remains a challenge. Here, we demonstrate that collective groups can be described in a thermodynamic framework. We define an appropriate set of state variables and extract an equation of state for laboratory midge swarms. We then drive swarms through "thermodynamic" cycles via external stimuli, and show that our equation of state holds throughout. Our findings demonstrate a new way of precisely quantifying the nature of collective groups and provide a cornerstone for potential future engineering design.

摘要

群体中的集体行为在整个生物世界中都有发生。动物群体通常被认为是进化适应的,能够强大地实现特定功能,因此人们广泛关注利用集体行为进行仿生工程。然而,这需要了解群体的确切性质和功能,这仍然是一个挑战。在这里,我们证明了可以在热力学框架内描述集体群体。我们定义了一组适当的状态变量,并为实验室摇蚊群体提取了状态方程。然后,我们通过外部刺激使群体经历“热力学”循环,并表明我们的状态方程在整个过程中都成立。我们的发现展示了一种精确量化集体群体性质的新方法,并为未来的潜在工程设计提供了基石。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ca8/7881103/7190b3847806/41598_2021_83303_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ca8/7881103/2c1a15fcaeee/41598_2021_83303_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ca8/7881103/fd4cc7d3c682/41598_2021_83303_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ca8/7881103/7190b3847806/41598_2021_83303_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ca8/7881103/2c1a15fcaeee/41598_2021_83303_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ca8/7881103/fd4cc7d3c682/41598_2021_83303_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ca8/7881103/7190b3847806/41598_2021_83303_Fig3_HTML.jpg

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1
An equation of state for insect swarms.昆虫群的状态方程。
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引用本文的文献

1
Spatial correlations in laboratory insect swarms.实验室昆虫群集的空间相关性。
J R Soc Interface. 2024 Oct;21(219):20240450. doi: 10.1098/rsif.2024.0450. Epub 2024 Oct 9.
2
Mosquito swarms shear harden.蚊虫群切变硬。
Eur Phys J E Soft Matter. 2023 Dec 8;46(12):126. doi: 10.1140/epje/s10189-023-00379-3.
3
Insect visuomotor delay adjustments in group flight support swarm cohesion.昆虫在群体飞行中通过视觉运动延迟调整来维持群体的凝聚力。

本文引用的文献

1
Optimized flocking of autonomous drones in confined environments.优化自主无人机在封闭环境中的集群行为。
Sci Robot. 2018 Jul 18;3(20). doi: 10.1126/scirobotics.aat3536.
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Behavioural plasticity and the transition to order in jackdaw flocks.乌鸦群中的行为可塑性与秩序转变。
Nat Commun. 2019 Nov 15;10(1):5174. doi: 10.1038/s41467-019-13281-4.
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Mechanical spectroscopy of insect swarms.昆虫群的力学光谱分析。
Sci Rep. 2023 Apr 19;13(1):6407. doi: 10.1038/s41598-023-32675-5.
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Understanding the thermodynamic properties of insect swarms.理解昆虫群的热力学性质。
Sci Rep. 2021 Jul 22;11(1):14979. doi: 10.1038/s41598-021-94582-x.
Sci Adv. 2019 Jul 10;5(7):eaaw9305. doi: 10.1126/sciadv.aaw9305. eCollection 2019 Jul.
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Response of insect swarms to dynamic illumination perturbations.昆虫群对动态光照干扰的反应。
J R Soc Interface. 2019 Jan 31;16(150):20180739. doi: 10.1098/rsif.2018.0739.
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Particle robotics based on statistical mechanics of loosely coupled components.基于松耦合组件统计力学的粒子机器人。
Nature. 2019 Mar;567(7748):361-365. doi: 10.1038/s41586-019-1022-9. Epub 2019 Mar 20.
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Re-wilding Collective Behaviour: An Ecological Perspective.重新野性化集体行为:生态视角。
Trends Ecol Evol. 2018 May;33(5):347-357. doi: 10.1016/j.tree.2018.03.004. Epub 2018 Apr 4.
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Phase Coexistence in Insect Swarms.昆虫群体中的相共存
Phys Rev Lett. 2017 Oct 27;119(17):178003. doi: 10.1103/PhysRevLett.119.178003. Epub 2017 Oct 24.
10
How Far from Equilibrium Is Active Matter?活性物质离平衡态有多远?
Phys Rev Lett. 2016 Jul 15;117(3):038103. doi: 10.1103/PhysRevLett.117.038103. Epub 2016 Jul 13.