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The Biomimetic Turing Machine

Jiahao Li1, Yinbo Zhu1,*

1 CAS Key Laboratory of Mechanical Behavior and Design of Materials, Department of Modern Mechanics, University of Science and Technology of China, Hefei, 230027, China

* Corresponding Author: Yinbo Zhu. Email: email

The International Conference on Computational & Experimental Engineering and Sciences 2024, 30(3), 1-1. https://doi.org/10.32604/icces.2024.011955

Abstract

Movements actuated by the moisture in plant tissues are prevalent in nature. Different microstructures of plants determine the various patterns of moisture-actuated movements. For instance, the graded lignin fraction of Selaginella lepidophylla leads to the a graded curvature morphology, while the fiber orientation angles determine the helical chirality of chiral seed pods. Inspired by these two types of plant microstructures, a theoretical framework for a biomimetic Turing machine is constructed. Similar to the Turing machine introduced by Alan Turing in 1936, the biomimetic Turing machine has a ribbon-like bilayer structure composed of numerous units, whose microstructures consist of fiber and matrix. By encoding the matrix volume fraction and fiber orientation angles of the units, we can regulate the biomimetic Turing machine morph to the desired shape. The theoretical framework for inverse design of arbitrary space curves is established, and the design criteria with geometrical restrictions are provided. The theoretical framework of the biomimetic Turing machine offers a novel strategy for design and fabrication of intelligent morphing materials.

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Cite This Article

APA Style
Li, J., Zhu, Y. (2024). The biomimetic turing machine. The International Conference on Computational & Experimental Engineering and Sciences, 30(3), 1-1. https://doi.org/10.32604/icces.2024.011955
Vancouver Style
Li J, Zhu Y. The biomimetic turing machine. Int Conf Comput Exp Eng Sciences . 2024;30(3):1-1 https://doi.org/10.32604/icces.2024.011955
IEEE Style
J. Li and Y. Zhu, “The Biomimetic Turing Machine,” Int. Conf. Comput. Exp. Eng. Sciences , vol. 30, no. 3, pp. 1-1, 2024. https://doi.org/10.32604/icces.2024.011955



cc Copyright © 2024 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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