DeepOHeat: Operator Learning-based Ultra-fast Thermal Simulation in 3D-IC Design

25 February 2023

Papers citing "DeepOHeat: Operator Learning-based Ultra-fast Thermal Simulation in 3D-IC Design"

7 / 7 papers shown

Title
DeepOHeat-v1: Efficient Operator Learning for Fast and Trustworthy Thermal Simulation and Optimization in 3D-IC Design Xinling Yu Z. Liu Hai Li Yixing Li Xin Ai Zhiyu Zeng Ian Young Zheng Zhang AI4CE 36 0 0 04 Apr 2025
An explainable operator approximation framework under the guideline of Green's function Jianghang Gu Ling Wen Yuntian Chen Shiyi Chen 64 0 0 21 Dec 2024
Separable Operator Networks Xinling Yu S. Hooten Z. Liu Yequan Zhao M. Fiorentino T. Van Vaerenbergh Zheng-Wei Zhang 38 0 0 15 Jul 2024
Invertible Fourier Neural Operators for Tackling Both Forward and Inverse Problems Da Long Zhitong Xu Qiwei Yuan Yin Yang Shandian Zhe AI4CE 64 5 0 18 Feb 2024
Multi-Resolution Active Learning of Fourier Neural Operators Shibo Li Xin Yu Wei W. Xing Mike Kirby Akil Narayan Shandian Zhe AI4CE 14 4 0 29 Sep 2023
A Thermal Machine Learning Solver For Chip Simulation Rishikesh Ranade Haiyang He Jay Pathak N. Chang Akhilesh Kumar Jimin Wen 32 13 0 10 Sep 2022
$NVIDIA SimNet^{TM}: an AI-accelerated multi-physics simulation framework$ NVIDIA SimNet^{TM}: an AI-accelerated multi-physics simulation framework O. Hennigh S. Narasimhan M. A. Nabian Akshay Subramaniam Kaustubh Tangsali M. Rietmann J. Ferrandis Wonmin Byeon Z. Fang S. Choudhry PINN AI4CE 85 112 0 14 Dec 2020