Deep Gaussian Process Enabled Surrogate Models for Aerodynamic Flows

Research article (AIAA Scitech 2020 Forum, 2020) · cited 19× · AI/ML
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Deep Gaussian Process Enabled Surrogate Models for Aerodynamic Flows

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Deep Gaussian Process Enabled Surrogate Models for Aerodynamic Flows is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Deep Gaussian Process Enabled Surrogate Models for Aerodynamic Flows. Retrieved May 24, 2026, from https://4ort.xyz/entity/deep-gaussian-process-enabled-surrogate-models-for-aerodynamic-flows
MLA “Deep Gaussian Process Enabled Surrogate Models for Aerodynamic Flows.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/deep-gaussian-process-enabled-surrogate-models-for-aerodynamic-flows.
BibTeX @misc{4ortxyz_deep-gaussian-process-enabled-surrogate-models-for-aerodynamic-flows_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Deep Gaussian Process Enabled Surrogate Models for Aerodynamic Flows}}, year = {2026}, url = {https://4ort.xyz/entity/deep-gaussian-process-enabled-surrogate-models-for-aerodynamic-flows}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Deep Gaussian Process Enabled Surrogate Models for Aerodynamic Flows — https://4ort.xyz/entity/deep-gaussian-process-enabled-surrogate-models-for-aerodynamic-flows (retrieved 2026-05-24)

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