Harnessing structural stochasticity in the computational discovery and design of microstructures

Harnessing structural stochasticity in the computational discovery and design of microstructures

This paper presents a deep generative model-based design methodology for tailoring the structural stochasticity of microstructures. Although numerous methods have been established for designing deterministic (periodic) or stochastic microstructures, a systematic design approach that allows the unifi...

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Bibliographic Details
Main Authors: Leidong Xu, Nathaniel Hoffman, Zihan Wang, Hongyi Xu
Format: Article
Language:English
Published: Elsevier 2022-11-01
Series:Materials & Design
Subjects:
Microstructure design
Deep generative model
Stochasticity
Design optimization
Stochastically graded structures
Online Access:http://www.sciencedirect.com/science/article/pii/S0264127522008450

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http://www.sciencedirect.com/science/article/pii/S0264127522008450

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