Computational design of reverse thermoelastic deformation compensation structures in a rotary heat regenerator based on physics-informed neural networks

Engineering Applications of Artificial Intelligence 2026 Open access

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Authors: Y T Liu, Ye Yin

DOI: 10.1016/j.engappai.2026.114289

Cited by: 1

References: 48

Fields of Study & Subjects

Model Reduction and Neural Networks Shape Memory Alloy Transformations Thermoelastic and Magnetoelastic Phenomena

References 48