Design of Turing Systems with Physics-Informed Neural Networks

Reaction-diffusion (Turing) systems are fundamental to the formation of spatial patterns in nature and engineering. These systems are governed by a set of non-linear partial differential equations containing parameters that determine the rate of constituent diffusion and reaction.

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Jordon Kho, Winston Koh, Jian Cheng Wong, Pao-Hsiung Chiu, Chin Chun Ooi (2024). Dataset: Design of Turing Systems with Physics-Informed Neural Networks. https://doi.org/10.57702/klrk2huk

DOI retrieved: December 2, 2024

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Created December 2, 2024
Last update December 2, 2024
Defined In https://doi.org/10.48550/arXiv.2211.13464
Author Jordon Kho
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Winston Koh
Jian Cheng Wong
Pao-Hsiung Chiu
Chin Chun Ooi