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A programmable environment for shape optimization and shapeshifting problems

delete2024-12-27
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PRE
AI
C
Chaitanya Joshi
D
Daniel Hellstein
C
Cole Wennerholm
E
Eoghan Downey
E
Emmett Hamilton
S
Samuel Hocking
A
Anca Andrei
J
James H. Adler
T
Timothy J. Atherton *
DOI:10.1038/s43588-024-00749-7delete
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摘要

摘要

En 中文
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.
Keyword:
LEVEL-SET METHODS
STATISTICAL-MECHANICS
LIQUID-CRYSTALS
TOPOLOGY
SOFT
ORIGAMI
BUBBLES
DESIGN
MATTER
ENERGY

期刊

Nature Computational Science 封面图
Nature Computational Science
IF:
18.3
论文数:
3.1K
被引数:
4.0K

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