A physics and data co-driven surrogate modeling approach for temperature field prediction on irregular geometric domain

Research article (Structural and Multidisciplinary Optimization, 2022) · cited 19× · AI/ML
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A physics and data co-driven surrogate modeling approach for temperature field prediction on irregular geometric domain

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A physics and data co-driven surrogate modeling approach for temperature field prediction on irregular geometric domain is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). A physics and data co-driven surrogate modeling approach for temperature field prediction on irregular geometric domain. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-physics-and-data-co-driven-surrogate-modeling-approach-for-temperature-field-prediction-on-irregular-geometric-domain
MLA “A physics and data co-driven surrogate modeling approach for temperature field prediction on irregular geometric domain.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-physics-and-data-co-driven-surrogate-modeling-approach-for-temperature-field-prediction-on-irregular-geometric-domain.
BibTeX @misc{4ortxyz_a-physics-and-data-co-driven-surrogate-modeling-approach-for-temperature-field-prediction-on-irregular-geometric-domain_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A physics and data co-driven surrogate modeling approach for temperature field prediction on irregular geometric domain}}, year = {2026}, url = {https://4ort.xyz/entity/a-physics-and-data-co-driven-surrogate-modeling-approach-for-temperature-field-prediction-on-irregular-geometric-domain}, note = {Accessed: 2026-05-24}}
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