Personal profile
Research interests
Mathematics & Statistics - Scientific machine learning
Mathematics & Statistics - AI4Science
Mechanical Engineering - Computational fluid dynamics
Mathematics & Statistics - Turbulence
Mathematics & Statistics - Time series
Mathematics & Statistics - AI4Science
Mechanical Engineering - Computational fluid dynamics
Mathematics & Statistics - Turbulence
Mathematics & Statistics - Time series
Related documents
Education/Academic qualification
PhD in Numerical Mathematics, Intensive Computing and Data, PhD, Université Paris Sciences et Lettres
2022
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Collaborations and top research areas from the last five years
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Positional Knowledge is All You Need: Position-induced Transformer (PiT) for Operator Learning
Chen, J. & Wu, K., 21 Jul 2024, In: Proceedings of Machine Learning Research. 235, p. 7526-7552 27 p., 293.Research output: Contribution to journal › Conference article published in journal › peer-review
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Deep-OSG: Deep learning of operators in semigroup
Chen, J. & Wu, K., 15 Nov 2023, In: Journal of Computational Physics. 493, 112498.Research output: Contribution to journal › Journal Article › peer-review
5 Link opens in a new tab Citations (Scopus) -
A twin-decoder structure for incompressible laminar flow reconstruction with uncertainty estimation around 2D obstacles
Chen, J., Viquerat, J., Heymes, F. & Hachem, E., Apr 2022, In: Neural Computing and Applications. 34, 8, p. 6289-6305 17 p.Research output: Contribution to journal › Journal Article › peer-review
5 Link opens in a new tab Citations (Scopus) -
Graph neural networks for laminar flow prediction around random two-dimensional shapes
Chen, J., Hachem, E. & Viquerat, J., 8 Dec 2021, In: Physics of Fluids. 33, 12, 123607.Research output: Contribution to journal › Journal Article › peer-review
77 Link opens in a new tab Citations (Scopus)