Cover Image

PRISM: Position-encoded Regressive Inverse Spectral Model for Multilayer Thin-Film Design

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wang, Runtian, Xue, Renhao, Chen, Baige, Wu, Hao
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Optics
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

OptoGPT: A Foundation Model for Inverse Design in Optical Multilayer Thin Film Structures
by: Ma, Taigao, et al.
Published: (2023)

Inverse Design of Optical Multilayer Thin Films using Robust Masked Diffusion Models
by: Schaible, Jonas, et al.
Published: (2026)

Optical Multilayer Thin Film Structure Inverse Design: From Optimization to Deep Learning
by: Ma, Taigao, et al.
Published: (2024)

Generative Inverse Design of Metamaterials with Functional Responses by Interpretable Learning
by: Chen, Wei "Wayne", et al.
Published: (2023)

Inverse Design of Metamaterials with Manufacturing-Guiding Spectrum-to-Structure Conditional Diffusion Model
by: Li, Jiawen, et al.
Published: (2025)

Gradient-Informed Bayesian and Interior Point Optimization for Efficient Inverse Design in Nanophotonics
by: Mahlau, Yannik, et al.
Published: (2026)

Neural Adjoint Method for Meta-optics: Accelerating Volumetric Inverse Design via Fourier Neural Operators
by: Kang, Chanik, et al.
Published: (2026)

Inverse Design of Diffractive Metasurfaces Using Diffusion Models
by: Hen, Liav, et al.
Published: (2025)

Inverse Design in Nanophotonics via Representation Learning
by: Marzban, Reza, et al.
Published: (2025)

Reconfigurable Geometric Phase Matching by Multilayered Nonlinear Thin-Film Crystals
by: Ben-Haim, Danielle, et al.
Published: (2026)

PRISM: Photonics-Informed Inverse Lithography for Manufacturable Inverse-Designed Photonic Integrated Circuits
by: Zhou, Hongjian, et al.
Published: (2026)

General Inverse Design of Thin-Film Metamaterials With Convolutional Neural Networks
by: Lininger, Andrew, et al.
Published: (2021)

Spectrally Transformed Kernel Regression
by: Zhai, Runtian, et al.
Published: (2024)

Determination of Particle-Size Distributions from Light-Scattering Measurement Using Constrained Gaussian Process Regression
by: Seyedheydari, Fahime, et al.
Published: (2025)

Nonlinear Computation with Linear Optics via Source-Position Encoding
by: Richardson, N., et al.
Published: (2025)

Unified, Verifiable Neural Simulators for Electromagnetic Wave Inverse Problems
by: Dove, Charles, et al.
Published: (2024)

Optical Physics-Based Generative Models
by: Ahmadnejad, Amirreza, et al.
Published: (2025)

PRISM: Breaking the O(n) Memory Wall in Long-Context LLM Inference via O(1) Photonic Block Selection
by: Park, Hyoseok, et al.
Published: (2026)

Fast inverse lithography based on a model-driven block stacking convolutional neural network
by: Chen, Ruixiang, et al.
Published: (2024)

SP2RINT: Spatially-Decoupled Physics-Inspired Progressive Inverse Optimization for Scalable, PDE-Constrained Meta-Optical Neural Network Training
by: Ma, Pingchuan, et al.
Published: (2025)

Modeling and benchmarking quantum optical neurons for efficient neural computation
by: Andrisani, Andrea, et al.
Published: (2025)

Optimized Relay Lens Design For High-Resolution Image Transmission In Military Target Detection Systems
by: Celik, Burak, et al.
Published: (2025)

PACE: Pacing Operator Learning to Accurate Optical Field Simulation for Complicated Photonic Devices
by: Zhu, Hanqing, et al.
Published: (2024)

An Angular Spectrum Approach to Inverse Synthesis for the Characterization of Optical and Geometrical Properties of Semiconductor Thin Films
by: Bass, John M., et al.
Published: (2024)

Reinforcement Learning for Photonic Component Design
by: Witt, Donald, et al.
Published: (2023)

Inverse Designed THz Spectral Splitters
by: Banerji, Sourangsu, et al.
Published: (2020)

Efficient training for large-scale optical neural network using an evolutionary strategy and attention pruning
by: Yang, Zhiwei, et al.
Published: (2025)

Machine-Learning-Assisted Photonic Device Development: A Multiscale Approach from Theory to Characterization
by: Chen, Yuheng, et al.
Published: (2025)

Optical diffraction neural networks assisted computational ghost imaging through dynamic scattering media
by: Li, Yue-Gang, et al.
Published: (2025)

Enhanced Photonic Chip Design via Interpretable Machine Learning Techniques
by: Pira, Lirandë, et al.
Published: (2025)

Squeezed Light Generation in Periodically Poled Thin-Film Lithium Niobate Waveguides
by: Shi, Xiaodong, et al.
Published: (2025)

FieldSeer I: Physics-Guided World Models for Long-Horizon Electromagnetic Dynamics under Partial Observability
by: Guo, Ziheng, et al.
Published: (2025)

Nonlinear optical encoding enabled by recurrent linear scattering
by: Xia, Fei, et al.
Published: (2023)

Machine Learning-Augmented Acceleration of Iterative Ptychographic Reconstruction
by: Zheng, Bowen, et al.
Published: (2026)

Integrated electro-optic attention nonlinearities for transformers
by: Mickeler, Luis, et al.
Published: (2026)

Physics-Based Flow Matching for Full-Field Prediction of Silicon Photonic Devices
by: Quaratiello, Joseph, et al.
Published: (2026)

Optical Echo State Network Reservoir Computing
by: Kaushik, Ishwar S, et al.
Published: (2025)

Spatially Parallel All-optical Neural Networks
by: Qin, Jianwei, et al.
Published: (2025)

Bayesian Optimization and Convolutional Neural Networks for Zernike-Based Wavefront Correction in High Harmonic Generation
by: Fernandes, Guilherme Grancho D., et al.
Published: (2025)

Active Convolved Illumination with Deep Transfer Learning for Complex Beam Transmission through Atmospheric Turbulence
by: Moazzam, Adrian A., et al.
Published: (2025)