Data-driven modeling of geometry-adaptive steady heat conduction based on convolutional neural networks

Case Studies in Thermal Engineering ◽

10.1016/j.csite.2021.101651 ◽

2021 ◽

Vol 28 ◽

pp. 101651

Author(s):

Jiang-Zhou Peng ◽

Xianglei Liu ◽

Nadine Aubry ◽

Zhihua Chen ◽

Wei-Tao Wu

Keyword(s):

Neural Networks ◽

Heat Conduction ◽

Convolutional Neural Networks ◽

Data Driven ◽

Data Driven Modeling ◽

Steady Heat Conduction ◽

Steady Heat

Non-euclidean Data-Driven Modeling Using Graph Convolutional Neural Networks

Data-Driven Modeling of Cyber-Physical Systems using Side-Channel Analysis ◽

10.1007/978-3-030-37962-9_9 ◽

2020 ◽

pp. 185-207

Author(s):

Sujit Rokka Chhetri ◽

Mohammad Abdullah Al Faruque

Keyword(s):

Neural Networks ◽

Convolutional Neural Networks ◽

Data Driven ◽

Data Driven Modeling

Extremum principles and error bounds for steady heat conduction with mixed boundary conditions

Lettere al Nuovo Cimento ◽

10.1007/bf02745773 ◽

1973 ◽

Vol 6 (10) ◽

pp. 362-366

Author(s):

A. M. Arthurs ◽

D. Winthkop

Keyword(s):

Heat Conduction ◽

Boundary Conditions ◽

Error Bounds ◽

Mixed Boundary ◽

Mixed Boundary Conditions ◽

Steady Heat Conduction ◽

Steady Heat

A NOTE ON UNIQUENESS PROOFS FOR BOUNDARY-VALUE PROBLEMS IN POTENTIAL THEORY AND STEADY HEAT CONDUCTION

The Quarterly Journal of Mechanics and Applied Mathematics ◽

10.1093/qjmam/6.4.385 ◽

1953 ◽

Vol 6 (4) ◽

pp. 385-390

Author(s):

M. E. RAYNER

Keyword(s):

Heat Conduction ◽

Boundary Value Problems ◽

Potential Theory ◽

Boundary Value ◽

Steady Heat Conduction ◽

Steady Heat

Improving data-driven global weather prediction using deep convolutional neural networks on a cubed sphere

10.1002/essoar.10502543.1 ◽

2020 ◽

Cited By ~ 2

Author(s):

Jonathan A Weyn ◽

Dale Richard Durran ◽

Rich Caruana

Keyword(s):

Neural Networks ◽

Convolutional Neural Networks ◽

Weather Prediction ◽

Data Driven ◽

Deep Convolutional Neural Networks ◽

Cubed Sphere

3-D Steady Heat Conduction Solver via Deep Learning

IEEE Journal on Multiscale and Multiphysics Computational Techniques ◽

10.1109/jmmct.2021.3106539 ◽

2021 ◽

pp. 1-1

Author(s):

Yinpeng Wang ◽

Jianmei Zhou ◽

Qiang Ren ◽

Yaoyao Li ◽

Donglin Su

Keyword(s):

Deep Learning ◽

Heat Conduction ◽

Steady Heat Conduction ◽

Steady Heat

Steady Heat Conduction

Complex Analysis with Applications to Flows and Fields ◽

10.1201/b13580-44 ◽

2010 ◽

pp. 607-634

Keyword(s):

Heat Conduction ◽

Steady Heat Conduction ◽

Steady Heat

Contributions of Steady Heat Conduction to the Rate of Chemical Reaction

Recent Advances in Multidisciplinary Applied Physics ◽

10.1016/b978-008044648-6.50067-7 ◽

2005 ◽

pp. 421-425

Author(s):

Kim Hyeon-Deuk ◽

Hisao Hayakawa

Keyword(s):

Heat Conduction ◽

Chemical Reaction ◽

Steady Heat Conduction ◽

Steady Heat

Liquid-Gas Transitions in Steady Heat Conduction

Physical Review Letters ◽

10.1103/physrevlett.119.260602 ◽

2017 ◽

Vol 119 (26) ◽

Cited By ~ 5

Author(s):

Naoko Nakagawa ◽

Shin-ichi Sasa

Keyword(s):

Heat Conduction ◽

Steady Heat Conduction ◽

Steady Heat

A Data-Driven No-Reference Image Quality Assessment via Deep Convolutional Neural Networks

Advances in Multimedia Information Processing – PCM 2018 - Lecture Notes in Computer Science ◽

10.1007/978-3-030-00767-6_34 ◽

2018 ◽

pp. 361-371

Author(s):

Yezhao Fan ◽

Yuchen Zhu ◽

Guangtao Zhai ◽

Jia Wang ◽

Jing Liu

Keyword(s):

Neural Networks ◽

Image Quality ◽

Quality Assessment ◽

Convolutional Neural Networks ◽

Image Quality Assessment ◽

Data Driven ◽

Reference Image ◽

Deep Convolutional Neural Networks

The basics of steady heat conduction and diffusion

Transport and Surface Phenomena ◽

10.1016/b978-0-12-818994-8.00013-0 ◽

2020 ◽

pp. 147-157

Author(s):

Kamil Wichterle ◽

Marek Večeř

Keyword(s):

Heat Conduction ◽

Steady Heat Conduction ◽

Steady Heat ◽

And Diffusion