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An Integrated Bi-directional Computing Framework for Composite Design Based on Self-Consistent Clustering Analysis and Conditional Generative Adversarial Network (SCA-CGAN)

Crossref DOI link: https://doi.org/10.1007/s10338-026-00708-x

Published Online: 2026-02-17

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Feng, Yixin https://orcid.org/0009-0003-1276-0939
Luo, Wei
Funding

Funding for this research was provided by:

National Natural Science Foundation of China (12502243)

Natural Science Foundation of Hubei Province (2024AFB291)

China Three Gorges University Research Starting Foundation (2024RCKJ017)
License Information

Text and Data Mining valid from 2026-02-17

Version of Record valid from 2026-02-17
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Article History

Received: 24 October 2025

Revised: 6 January 2026

Accepted: 15 January 2026

First Online: 17 February 2026

Declarations

:

: The authors declare that they have no conflicts of interest regarding this paper. There are no financial or personal relationships with individuals or organizations that could improperly influence this work.

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