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An unsupervised learning approach to solving heat equations on chip
  based on Auto Encoder and Image Gradient

An unsupervised learning approach to solving heat equations on chip based on Auto Encoder and Image Gradient

19 July 2020
Haiyang He
Jay Pathak
ArXiv (abs)PDFHTML

Papers citing "An unsupervised learning approach to solving heat equations on chip based on Auto Encoder and Image Gradient"

9 / 9 papers shown
Title
DeepOHeat: Operator Learning-based Ultra-fast Thermal Simulation in
  3D-IC Design
DeepOHeat: Operator Learning-based Ultra-fast Thermal Simulation in 3D-IC Design
Ziyue Liu
Yixing Li
Jing Hu
Xinling Yu
Shi-En Shiau
Xin Ai
Zhiyu Zeng
Zheng Zhang
AI4CE
69
21
0
25 Feb 2023
Analyzing the Performance of Deep Encoder-Decoder Networks as Surrogates
  for a Diffusion Equation
Analyzing the Performance of Deep Encoder-Decoder Networks as Surrogates for a Diffusion Equation
J. Q. Toledo-Marín
J. Glazier
Geoffrey C. Fox
85
4
0
07 Feb 2023
A composable machine-learning approach for steady-state simulations on
  high-resolution grids
A composable machine-learning approach for steady-state simulations on high-resolution grids
Rishikesh Ranade
C. Hill
Lalit Ghule
Jay Pathak
AI4CE
80
8
0
11 Oct 2022
A Thermal Machine Learning Solver For Chip Simulation
A Thermal Machine Learning Solver For Chip Simulation
Rishikesh Ranade
Haiyang He
Jay Pathak
N. Chang
Akhilesh Kumar
Jimin Wen
76
17
0
10 Sep 2022
Faster Optimization on Sparse Graphs via Neural Reparametrization
Faster Optimization on Sparse Graphs via Neural Reparametrization
Nima Dehmamy
C. Both
J. Long
Rose Yu
49
1
0
26 May 2022
A composable autoencoder-based iterative algorithm for accelerating
  numerical simulations
A composable autoencoder-based iterative algorithm for accelerating numerical simulations
Rishikesh Ranade
C. Hill
Haiyang He
Amir Maleki
Norman Chang
Jay Pathak
AI4CE
69
6
0
07 Oct 2021
Geometry encoding for numerical simulations
Geometry encoding for numerical simulations
Amir Maleki
J. Heyse
Rishikesh Ranade
Haiyang He
Priya Kasimbeg
Jay Pathak
3DVAI4CE
96
2
0
15 Apr 2021
Conditional physics informed neural networks
Conditional physics informed neural networks
A. Kovacs
L. Exl
Alexander Kornell
J. Fischbacher
Markus Hovorka
...
N. Sakuma
Akihito Kinoshita
T. Shoji
A. Kato
T. Schrefl
PINN
63
44
0
06 Apr 2021
A Latent space solver for PDE generalization
A Latent space solver for PDE generalization
Rishikesh Ranade
C. Hill
Haiyang He
Amir Maleki
Jay Pathak
AI4CE
77
4
0
06 Apr 2021
1