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Dec, 2021
机器学习加速的计算固体力学: 线性弹性应用
Machine Learning-Accelerated Computational Solid Mechanics: Application to Linear Elasticity
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Rajat Arora
TL;DR
提出了一种基于物理知识的深度学习超分辨率框架,可以从低分辨率的仿真结果中恢复高分辨率的变形场,并通过对物理系统的控制方程和边界条件的利用,在不使用高分辨率标记数据的情况下进行训练。
Abstract
This work presents a novel
physics-informed deep learning
based
super-resolution
framework to reconstruct high-resolution
deformation fields
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