Convolutional neural networks for heat conduction
This paper presents a data-driven approach to solve heat conduction problems, in particular 2D heat conduction problems. The physical laws which govern such problems are modeled by partial differential equations. We examine temperature distributions of conductors that have square geometry subjected...
Main Authors: | Sidharth Tadeparti, Vishal V.R. Nandigana |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2022-10-01
|
Series: | Case Studies in Thermal Engineering |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2214157X22003355 |
Similar Items
-
Data-driven modeling of geometry-adaptive steady heat conduction based on convolutional neural networks
by: Jiang-Zhou Peng, et al.
Published: (2021-12-01) -
Heat Conduction Plate Layout Optimization Using Physics-Driven Convolutional Neural Networks
by: Yang Sun, et al.
Published: (2022-10-01) -
Improvement in the Convolutional Neural Network for Computed Tomography Images
by: Keisuke Manabe, et al.
Published: (2021-02-01) -
CF-CNN: Coarse-to-Fine Convolutional Neural Network
by: Jinho Park, et al.
Published: (2021-04-01) -
Review of Image Classification Algorithms Based on Convolutional Neural Networks
by: Leiyu Chen, et al.
Published: (2021-11-01)