Variational methods and deep Ritz method for active elastic solids
Haiqin Wang, Boyi Zou, Jian Su, Dong Wang, and Xinpeng Xu

TL;DR
This paper applies variational principles, including the deep Ritz method, to model static behaviors of active elastic solids, revealing insights into morphogenesis and gravitational effects in active matter systems.
Contribution
It introduces the use of MFEVP-based variational and deep Ritz methods for active solid statics, extending their application to biological morphogenesis modeling.
Findings
Active circular plates bend towards contracting sides.
Deep neural networks enhance Ritz method accuracy.
Gravitational forces influence active plate bending when size exceeds a threshold.
Abstract
Variational methods have been widely used in soft matter physics for both static and dynamic problems. These methods are mostly based on two variational principles: the variational principle of minimum free energy (MFEVP) and Onsager's variational principle (OVP). Our interests lie in the applications of these variational methods to active matter physics. In our former work [Soft Matter, 2021, 17, 3634], we have explored the applications of OVP-based variational methods for the modeling of active matter dynamics. In the present work, we explore variational (or energy) methods that are based on MFEVP for static problems in active elastic solids. We show that MFEVP can be used not only to derive equilibrium equations, but also to develop approximate solution methods, such as Ritz method, for active solid statics. Moreover, the power of Ritz-type method can be further enhanced using deep…
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