Data-driven surrogate model for aerodynamic design using separable shape tensor method

Research article (Chinese Journal of Aeronautics, 2024) · cited 20× · AI/ML
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Data-driven surrogate model for aerodynamic design using separable shape tensor method

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Data-driven surrogate model for aerodynamic design using separable shape tensor method is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Data-driven surrogate model for aerodynamic design using separable shape tensor method. Retrieved May 24, 2026, from https://4ort.xyz/entity/data-driven-surrogate-model-for-aerodynamic-design-using-separable-shape-tensor-method
MLA “Data-driven surrogate model for aerodynamic design using separable shape tensor method.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/data-driven-surrogate-model-for-aerodynamic-design-using-separable-shape-tensor-method.
BibTeX @misc{4ortxyz_data-driven-surrogate-model-for-aerodynamic-design-using-separable-shape-tensor-method_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Data-driven surrogate model for aerodynamic design using separable shape tensor method}}, year = {2026}, url = {https://4ort.xyz/entity/data-driven-surrogate-model-for-aerodynamic-design-using-separable-shape-tensor-method}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Data-driven surrogate model for aerodynamic design using separable shape tensor method — https://4ort.xyz/entity/data-driven-surrogate-model-for-aerodynamic-design-using-separable-shape-tensor-method (retrieved 2026-05-24)

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