Machine learning driven interpretation of computational fluid dynamics simulations to develop student intuition-Reference-Cited by-同舟云学术

Machine learning driven interpretation of computational fluid dynamics simulations to develop student intuition

Published:2020-03-03 Issue:3 Volume:28 Page:490-496
ISSN:1061-3773
Container-title:Computer Applications in Engineering Education
language:en
Short-container-title:Comput Appl Eng Educ

Author:

Patterson Nathan J.¹^ORCID

Affiliation:

1. Mechanical Engineering DepartmentMilwaukee School of EngineeringMilwaukee Wisconsin

Publisher

Wiley

Subject

General Engineering,Education,General Computer Science

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cae.22216

Reference37 articles.

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3. Computational fluid dynamics: A two‐edged sword;Baker A. J.;ASHRAE J N Y.,1997

4. P.Baquéet al. Geodesic convolutional shape optimization. ArXiv180204016 Cs February 2018 avaialable athttp://arxiv.org/abs/1802.04016

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