PACE: Pacing Operator Learning to Accurate Optical Field Simulation for Complicated Photonic Devices

5 November 2024

Papers citing "PACE: Pacing Operator Learning to Accurate Optical Field Simulation for Complicated Photonic Devices"

8 / 8 papers shown

Title
Integrated multi-operand optical neurons for scalable and hardware-efficient deep learning Chenghao Feng Jiaqi Gu Hanqing Zhu R. Tang Shupeng Ning M. Hlaing J. Midkiff Sourabh Jain David Z. Pan Ray T. Chen 74 8 0 31 May 2023
Scalable Transformer for PDE Surrogate Modeling Zijie Li Dule Shu A. Farimani 94 84 0 27 May 2023
Transformer for Partial Differential Equations' Operator Learning Zijie Li Kazem Meidani A. Farimani 109 170 0 26 May 2022
A compact butterfly-style silicon photonic-electronic neural chip for hardware-efficient deep learning Chenghao Feng Jiaqi Gu Hanqing Zhu Zhoufeng Ying Zheng Zhao David Z. Pan Ray T. Chen 52 41 0 11 Nov 2021
Multiwavelet-based Operator Learning for Differential Equations Gaurav Gupta Xiongye Xiao P. Bogdan 191 220 0 28 Sep 2021
Photonics for artificial intelligence and neuromorphic computing B. Shastri A. Tait T. F. D. Lima W. Pernice H. Bhaskaran C. Wright Paul R. Prucnal 55 1,210 0 30 Oct 2020
Fourier Neural Operator for Parametric Partial Differential Equations Zong-Yi Li Nikola B. Kovachki Kamyar Azizzadenesheli Burigede Liu K. Bhattacharya Andrew M. Stuart Anima Anandkumar AI4CE 504 2,448 0 18 Oct 2020
On Layer Normalization in the Transformer Architecture Ruibin Xiong Yunchang Yang Di He Kai Zheng Shuxin Zheng Chen Xing Huishuai Zhang Yanyan Lan Liwei Wang Tie-Yan Liu AI4CE 142 996 0 12 Feb 2020