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Python code supporting Physics-informed deep learning for simultaneous surrogate modelling and PDE-constrained optimization of an airfoil geometry'

Repository URI

https://www.repository.cam.ac.uk/handle/1810/348011

Repository DOI

https://doi.org/10.17863/CAM.95425
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Files

PINN_Airfoil.py (60.96 KB)

Type

Software

Change log

Authors

Sun, Yubiao 
Sengupta, ushnish 

Description

Python code; single file

Version

Software / Usage instructions

Keywords

airfoil, automatic differentiation, deep learning, physics-informed neural network, shape optimization, surrogate model

Publisher

Rights

Attribution 4.0 International (CC BY 4.0) Repository logo
Sponsorship
European Commission Horizon 2020 (H2020) Marie Sk?odowska-Curie actions (766264)
Royal Society (NIF\R1\192317)
Royal Society (grant number NIF\R1\192317) Marie Sklodowska-Curie grant agreement No 766264
Relationships
Supplements:
https://www.repository.cam.ac.uk/handle/1810/348119
https://doi.org/10.1016/j.cma.2023.116042

Collections

Research Data - Engineering