@phdthesis{chen:tel-03771552, TITLE = {{Convolutional neural networks for steady flow prediction around 2D obstacles}}, AUTHOR = {Chen, Junfeng}, URL = {https://pastel.hal.science/tel-03771552}, NUMBER = {2022UPSLM015}, SCHOOL = {{Universit{\'e} Paris sciences et lettres}}, YEAR = {2022}, MONTH = Jan, KEYWORDS = {Convolutional neural networks ; Surrogate models ; Computational fluid dynamics ; Finite element ; Uncertainty quantification ; Graph convolution ; R{\'e}seaux de neurones convolutifs ; Mod{\`e}les subrog{\'e}s ; Dynamique des fluides num{\'e}riques ; {\'E}l{\'e}ment fini ; Quantification de l'incertitude ; Convolution sur graphes}, TYPE = {Theses}, PDF = {https://pastel.hal.science/tel-03771552/file/2022UPSLM015_archivage.pdf}, HAL_ID = {tel-03771552}, HAL_VERSION = {v1}, }