Deep learning model for rapid temperature map prediction in transient convection process using conditional generative adversarial networks

Author:

Kang MunkuORCID,Phuong Nguyen Nam,Kwon BeomjinORCID

Funder

National Science Foundation

Publisher

Elsevier BV

Reference30 articles.

1. A.B. Farimani, J. Gomes, and V.S. Pande, “Deep Learning the Physics of Transport Phenomena,” ArXiv:1709.02432, (2017).

2. C. Jiang, and A.B. Farimani, “Deep Learning Convective Flow Using Conditional Generative Adversarial Networks,” ArXiv:2005.06422, (2020).

3. Deep learning of forced convection heat transfer;Kang;J Heat Transfer,2022

4. P. Isola, J.-Y. Zhu, T. Zhou, A.A. Efros, and B.A. Research, “Image-to-Image Translation with Conditional Adversarial Networks,” ArXiv:1611.07004, (2016).

5. I. Goodfellow, J. Pouget-Abadie, M. Mirza, B. Xu, D. Warde-Farley, S. Ozair, A. Courville, and Y. Bengio, “Generative Adversarial Nets,” ArXiv:2406.2661, (2014).

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