形状优化和变形问题的可编程环境。

IF 12 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Nature computational science Pub Date : 2024-12-27 DOI:10.1038/s43588-024-00749-7
Chaitanya Joshi, Daniel Hellstein, Cole Wennerholm, Eoghan Downey, Emmett Hamilton, Samuel Hocking, Anca S Andrei, James H Adler, Timothy J Atherton
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引用次数: 0

摘要

软材料是许多科学和工程领域的基础,包括软机器人、结构化流体、生物和颗粒介质。在机械、电磁或化学刺激的作用下,这种材料通常会发生形状变化,而且变化幅度很大。预测它们的结构对于促进设计和机械理解具有很大的兴趣,并且可以作为一个优化问题,其中描述材料物理特性的给定能量函数相对于域和附加场的形状最小化。然而,形状优化问题的解决非常具有挑战性,并且缺乏既容易获得又通用的合适仿真工具。在这里,我们展示了一个开源的可编程环境,Morpho,并通过展示软物质物理不同领域的一系列应用来展示其多功能性:膨胀水凝胶,形成非球形液滴的复杂流体,肥皂膜和膜,以及细丝。
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A programmable environment for shape optimization and shapeshifting problems.

Soft materials underpin many domains of science and engineering, including soft robotics, structured fluids, and biological and particulate media. In response to applied mechanical, electromagnetic or chemical stimuli, such materials typically change shape, often dramatically. Predicting their structure is of great interest to facilitate design and mechanistic understanding, and can be cast as an optimization problem where a given energy function describing the physics of the material is minimized with respect to the shape of the domain and additional fields. However, shape-optimization problems are very challenging to solve, and there is a lack of suitable simulation tools that are both readily accessible and general in purpose. Here we present an open-source programmable environment, Morpho, and demonstrate its versatility by showcasing a range of applications from different areas of soft-matter physics: swelling hydrogels, complex fluids that form aspherical droplets, soap films and membranes, and filaments.

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CiteScore
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