Fluids and Deep Learning: A Brief Review
Author:
Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-42333-8_2
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3. Joshua Aurand, Raphael Ortiz, Silvia Nauer, and Vinicius C. Azevedo. Efficient Neural Style Transfer for Volumetric Simulations. ACM Transactions on Graphics, 41(6), 2022.
4. Yohai Bar-Sinai, Stephan Hoyer, Jason Hickey, and Michael P. Brenner. Learning data-driven discretizations for partial differential equations. Proceedings of the National Academy of Sciences of the United States of America, 116:15344–15349, 2019.
5. Andrea Beck and Marius Kurz. A perspective on machine learning methods in turbulence modeling. GAMM Mitteilungen, 44(1):1–27, 2021.
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