CFDNet

Author:

Obiols-Sales Octavi1,Vishnu Abhinav2,Malaya Nicholas2,Chandramowliswharan Aparna1

Affiliation:

1. University of California

2. Advanced Micro Devices, Inc.

Funder

National Science Foundation

Publisher

ACM

Reference36 articles.

1. [n.d.]. NACA0012. https://turbmodels.larc.nasa.gov/naca0012_val.html. [n.d.]. NACA0012. https://turbmodels.larc.nasa.gov/naca0012_val.html.

2. [n.d.]. NACA0012 grids. https://turbmodels.larc.nasa.gov/naca0012_grids.html. [n.d.]. NACA0012 grids. https://turbmodels.larc.nasa.gov/naca0012_grids.html.

3. Surrogate-Based Aerodynamic Design Optimization: Use of Surrogates in Aerodynamic Design Optimization

4. Reasonable Design Space Approach to Response Surface Approximation

5. Searching for exotic particles in high-energy physics with deep learning

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5. ADARNet: Deep Learning Predicts Adaptive Mesh Refinement;Proceedings of the 52nd International Conference on Parallel Processing;2023-08-07

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