Peer-reviewedLicence not statedInternational Journal for Uncertainty Quantification
Physics-informed, boundary-constrained Gaussian process regression for the reconstruction of fluid flow fields
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BibTeX
@article{padillasegarra2026physicsinformed,
title = {{Physics-informed, boundary-constrained Gaussian process regression for the reconstruction of fluid flow fields}},
author = {Adrian Padilla-Segarra and Pascal Noble and Olivier Roustant and Eric Savin},
journal = {International Journal for Uncertainty Quantification},
year = {2026},
month = jun,
doi = {10.1615/int.j.uncertaintyquantification.2026063515},
eprint = {2507.17582},
archivePrefix = {arXiv},
url = {https://hal.science/hal-05802846v1},
}
RIS
TY - JOUR
TI - Physics-informed, boundary-constrained Gaussian process regression for the reconstruction of fluid flow fields
AU - Adrian Padilla-Segarra
AU - Pascal Noble
AU - Olivier Roustant
AU - Eric Savin
PY - 2026
DA - 2026/06/01
JO - International Journal for Uncertainty Quantification
DO - 10.1615/int.j.uncertaintyquantification.2026063515
UR - https://hal.science/hal-05802846v1
SN - 2152-5080
SN - 2152-5099
ER -