Data-driven bio-mimetic composite design: direct prediction of stress-strain curves from structures using cGANs (Dataset S1)

Name: Data-driven bio-mimetic composite design: direct prediction of stress-strain curves from structures using cGANs (Dataset S1)
Creator: Chih-Hung Chen
Published: 2024-09-11T06:40:20.858Z
Keywords: Machine Learning, Stress-Strain Relations, Materials Design

Chen, Chih-Hung; Chen, Kuan-Ying; Shu, Yi-Chung

doi:10.17632/4j7t7rdxzr.1

Data-driven bio-mimetic composite design: direct prediction of stress-strain curves from structures using cGANs (Dataset S1)

Published: 11 September 2024| Version 1 | DOI: 10.17632/4j7t7rdxzr.1

Contributors:

Chih-Hung Chen, Kuan-Ying Chen, Yi-Chung Shu

Description

The dataset presents detailed results in images for all 1600 composite structures from the testing set. These images display stress-strain curves from phase-field simulations (ground truth) and model-predicted stress-strain curves, along with their corresponding composite structural arrangements and MAEs.

Data-driven bio-mimetic composite design: direct prediction of stress-strain curves from structures using cGANs (Dataset S1)

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