Deep convolutional surrogates and freedom in thermal design

Author:

Keramati Hadi,Hamdullahpur Feridun

Publisher

Elsevier BV

Subject

Artificial Intelligence,General Energy,Engineering (miscellaneous)

Reference56 articles.

1. Neural reparameterization improves structural optimization;Hoyer,2019

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3. Nanofluid MHD forced convection heat transfer around the elliptic obstacle inside a permeable lid drive 3D enclosure considering lattice Boltzmann method;Sheikholeslami;Physica A Stat. Mech. Appl.,2019

4. Body-fitted topology optimization of 2D and 3D fluid-to-fluid heat exchangers;Feppon;Comput Methods Appl Mech Engrg,2021

5. Graph networks as learnable physics engines for inference and control;Sanchez-Gonzalez,2018

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