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Inverse design of 3D cellular materials with physics-guided machine learning
This paper investigates the feasibility of data-driven methods in automating the engineering
design process, specifically studying inverse design of cellular mechanical metamaterials …
design process, specifically studying inverse design of cellular mechanical metamaterials …
A Novel Connectivity Index for Microstructures Imperfection Detection and Rectification in a Multiscale Structure Design
Inspired by natural designs, microstructures exhibit remarkable properties, which drive
interest in creating metamaterials with extraordinary traits. However, imperfections within …
interest in creating metamaterials with extraordinary traits. However, imperfections within …
[HTML][HTML] Research on structure topology optimization design empowered by deep learning method
C **aoqian, Z Zeyu, LI Yu, YAO Wen, Z Weien - 力学进展, 2024 - lxjz.cstam.org.cn
This article comprehensively discusses the relevant research progress in the field of
structural topology optimization and the cross-integration development of deep learning …
structural topology optimization and the cross-integration development of deep learning …
Design and Optimization of Quasi-Periodic Volumetric Microstructures by Aperiodic Tiling and Implicit Function
Materials with intricate microstructures exhibit unique properties, including a large surface
area and a highly distributed load path. This makes them very effective in engineering …
area and a highly distributed load path. This makes them very effective in engineering …