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Updated: Jan 9, 2026

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对于热响应水凝膨胀的物理信息神经网络:集成构成模型与稀缺的实验数据

Seyed Amirmasoud Takmili1,2, Eunsoo Choi3, Alireza Ostadrahimi3

  • 1School of Mechanical Engineering, College of Engineering, University of Tehran, Tehran 14399-57131, Iran.

Materials (Basel, Switzerland)
|December 11, 2025
PubMed
概括

基于物理学的神经网络 (PINNs) 准确地预测温度敏感的Poly (N) - 异烯胺 (PNIPAM) 水凝中的胀. 这种方法提高了软执行器和生物医学系统的设计.

关键词:
没有自由胀.凝崩温度的温度崩.基于物理学的神经网络.热反应性水凝的热反应性水凝.一个单向的受限制的胀.

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相关概念视频

Temperature Dependent Deformation01:12

Temperature Dependent Deformation

In a nonhomogeneous rod made up of steel and brass, restrained at both ends and subjected to a temperature change, several steps are involved in calculating the stress and compressive load. Due to the problem's static indeterminacy, one end support is disconnected, allowing the rod to experience the temperature change freely. Next, an unknown force is applied at the free end, triggering deformations in the rod's steel and brass portions. These deformations are then calculated and added...
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