Reconstruction of fluid flow fields from data using Gaussian process regression with physics-informed kernels

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SPIRE - Sciences Po Institutional REpository
Published
2025-04-02
Primary Topic
Gaussian Processes and Bayesian Inference
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article
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article

Reconstruction of fluid flow fields from data using Gaussian process regression with physics-informed kernels

Pascal Noble, Adrian Padilla-Segarra, Olivier Roustant, Eric Savin
SPIRE - Sciences Po Institutional REpository
Gaussian Processes and Bayesian Inference
article

Reconstruction of fluid flow fields from data using Gaussian process regression with physics-informed kernels

Pascal Noble, Adrian Padilla-Segarra, Olivier Roustant, Eric Savin
article en

Abstract

No abstract available for this paper.
SPIRE - Sciences Po Institutional REpository
Openalex Percentile: Top 16%
Gaussian Processes and Bayesian Inference
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Reconstruction of fluid flow fields from data using Gaussian process regression with physics-informed kernels — Pascal Noble, Adrian Padilla-Segarra, et al. · SPIRE - Sciences Po Institutional REpository (2025) | TGRS Research Map | TGRS