SR-M−GAN: A generative model for high-fidelity stress fields prediction of the composite bolted joints
Summary
SR-M−GAN: A generative model for high-fidelity stress fields prediction of the composite bolted joints is a scholarly article[1].
Key Facts
SR-M−GAN: A generative model for high-fidelity stress fields prediction of the composite bolted joints's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). SR-M−GAN: A generative model for high-fidelity stress fields prediction of the composite bolted joints. Retrieved May 24, 2026, from https://4ort.xyz/entity/sr-mgan-a-generative-model-for-high-fidelity-stress-fields-prediction-of-the-composite-bolted-joints
MLA“SR-M−GAN: A generative model for high-fidelity stress fields prediction of the composite bolted joints.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/sr-mgan-a-generative-model-for-high-fidelity-stress-fields-prediction-of-the-composite-bolted-joints.
BibTeX@misc{4ortxyz_sr-mgan-a-generative-model-for-high-fidelity-stress-fields-prediction-of-the-composite-bolted-joints_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{SR-M−GAN: A generative model for high-fidelity stress fields prediction of the composite bolted joints}}, year = {2026}, url = {https://4ort.xyz/entity/sr-mgan-a-generative-model-for-high-fidelity-stress-fields-prediction-of-the-composite-bolted-joints}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): SR-M−GAN: A generative model for high-fidelity stress fields prediction of the composite bolted joints — https://4ort.xyz/entity/sr-mgan-a-generative-model-for-high-fidelity-stress-fields-prediction-of-the-composite-bolted-joints (retrieved 2026-05-24)
