A neural operator-based surrogate solver for free-form electromagnetic
inverse design

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A neural operator-based surrogate solver for free-form electromagnetic inverse design

ACS Photonics (ACS Photonics), 2023

4 February 2023

Yannick Augenstein

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Papers citing "A neural operator-based surrogate solver for free-form electromagnetic inverse design"

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Title
Optimizing Predictive Maintenance in Intelligent Manufacturing: An Integrated FNO-DAE-GNN-PPO MDP Framework Shiqing Qiu AI4CE 28 0 0 05 Nov 2025
Mixture-of-Experts Operator Transformer for Large-Scale PDE Pre-Training Hong Wang Haiyang Xin Jie Wang Xuanze Yang Fei Zha Huanshuo Dong Yan Jiang MoE AI4CE 523 0 0 29 Oct 2025
Operator Learning for Schrödinger Equation: Unitarity, Error Bounds, and Time Generalization Yash Patel Unique Subedi Ambuj Tewari 188 0 0 23 May 2025
PIC2O-Sim: A Physics-Inspired Causality-Aware Dynamic Convolutional Neural Operator for Ultra-Fast Photonic Device FDTD Simulation Pingchuan Ma Haoyu Yang Zhengqi Gao Duane S. Boning Jiaqi Gu 207 4 0 24 Jun 2024
DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training Zhongkai Hao Yan Yu Songming Liu Julius Berner Chengyang Ying Hang Su A. Anandkumar Jian Song Jun Zhu AI4TS AI4CE 333 73 0 06 Mar 2024
Accelerating Data Generation for Neural Operators via Krylov Subspace RecyclingInternational Conference on Learning Representations (ICLR), 2024 Hong Wang Zhongkai Hao Jie Wang Zijie Geng Zhen Wang Bin Li Fengli Wu 189 10 0 17 Jan 2024
Photonic Structures Optimization Using Highly Data-Efficient Deep Learning: Application To Nanofin And Annular Groove Phase Masks Nicolas Roy L. König O. Absil Charlotte Beauthier Alexandre Mayer M. Lobet 103 1 0 05 Sep 2023