Copertina

Physics-guided and fabrication-aware inverse design of photonic devices using diffusion models

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Seo, Dongjin, Um, Soobin, Lee, Sangbin, Ye, Jong Chul, Chung, Haejun
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Optics Artificial Intelligence Computational Physics
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Minority-Focused Text-to-Image Generation via Prompt Optimization
di: Um, Soobin, et al.
Pubblicazione: (2024)

Self-Guided Generation of Minority Samples Using Diffusion Models
di: Um, Soobin, et al.
Pubblicazione: (2024)

Don't Play Favorites: Minority Guidance for Diffusion Models
di: Um, Soobin, et al.
Pubblicazione: (2023)

Generalizing Deep Surrogate Solvers for Broadband Electromagnetic Field Prediction at Unseen Wavelengths
di: Seo, Joonhyuk, et al.
Pubblicazione: (2024)

Boost-and-Skip: A Simple Guidance-Free Diffusion for Minority Generation
di: Um, Soobin, et al.
Pubblicazione: (2025)

MotionCFG: Boosting Motion Dynamics via Stochastic Concept Perturbation
di: Kim, Byungjun, et al.
Pubblicazione: (2026)

Diverse Text-to-Image Generation via Contrastive Noise Optimization
di: Kim, Byungjun, et al.
Pubblicazione: (2025)

Inverse Designed WS2 Planar Chiral Metasurface with Geometric Phase
di: Jo, Jaegang, et al.
Pubblicazione: (2024)

Inverse design of ultrathin metamaterial absorber
di: Jang, Eunbi, et al.
Pubblicazione: (2025)

Small-scale photonic Kolmogorov-Arnold networks using standard telecom nonlinear modules
di: Calçado, Luca Nogueira, et al.
Pubblicazione: (2026)

Beyond Generative Priors: Minority Sampling with JEPA-Guided Diffusion
di: Park, Sol, et al.
Pubblicazione: (2026)

A newcomer's guide to deep learning for inverse design in nano-photonics
di: Khaireh-Walieh, Abdourahman, et al.
Pubblicazione: (2023)

Watch Video, Catch Keyword: Context-aware Keyword Attention for Moment Retrieval and Highlight Detection
di: Um, Sung Jin, et al.
Pubblicazione: (2025)

Programmable metasurfaces for future photonic artificial intelligence
di: Abou-Hamdan, Loubnan, et al.
Pubblicazione: (2025)

Neuro-inspired automated lens design
di: Gao, Yao, et al.
Pubblicazione: (2025)

Physics-Aware Style Transfer for Adaptive Holographic Reconstruction
di: Lee, Chanseok, et al.
Pubblicazione: (2025)

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

Super-resolution imaging using super-oscillatory diffractive neural networks
di: Chen, Hang, et al.
Pubblicazione: (2024)

Inverse-Designed Metasurfaces for Compact Optical Skyrmion Generation with High Topological Fidelity
di: Park, Donghyun, et al.
Pubblicazione: (2026)

Direct Zernike Coefficient Prediction from Point Spread Functions and Extended Images using Deep Learning
di: Kok, Yong En, et al.
Pubblicazione: (2024)

Reconfigurable inverse designed phase-change photonics
di: Wu, Changming, et al.
Pubblicazione: (2024)

OAH-Net: A Deep Neural Network for Hologram Reconstruction of Off-axis Digital Holographic Microscope
di: Liu, Wei, et al.
Pubblicazione: (2024)

Deep learning assisted inverse design of nonreciprocal multilayer photonic structures
di: Zhang, Weiran, et al.
Pubblicazione: (2026)

Decomposed Diffusion Sampler for Accelerating Large-Scale Inverse Problems
di: Chung, Hyungjin, et al.
Pubblicazione: (2023)

Enhanced posterior sampling via diffusion models for efficient metasurfaces inverse design
di: Grand, Mathys Le, et al.
Pubblicazione: (2026)

Physics-informed reinforcement learning for sample-efficient optimization of freeform nanophotonic devices
di: Park, Chaejin, et al.
Pubblicazione: (2023)

Inverse-Designed Metasurfaces for Wavefront Restoration in Under-Display Camera Systems
di: Jo, Jaegang, et al.
Pubblicazione: (2025)

Align Your Query: Representation Alignment for Multimodality Medical Object Detection
di: Seo, Ara, et al.
Pubblicazione: (2025)

CoSP: Reconfigurable Multi-State Metamaterial Inverse Design via Contrastive Pretrained Large Language Model
di: Yang, Shujie, et al.
Pubblicazione: (2025)

Chat to Chip: Large Language Model Based Design of Arbitrarily Shaped Metasurfaces
di: Zhang, Huanshu, et al.
Pubblicazione: (2025)

OptiLookUp: An Optical ROM-Based Lookup Table Engine for Photonic Accelerators
di: Singh, Ankur, et al.
Pubblicazione: (2026)

End-to-end autonomous scientific discovery on a real optical platform
di: Yang, Shuxing, et al.
Pubblicazione: (2026)

Training Hybrid Neural Networks with Multimode Optical Nonlinearities Using Digital Twins
di: Oguz, Ilker, et al.
Pubblicazione: (2025)

Computational TIRF enables optical sectioning beyond the evanescent field for widefield fluorescence microscopy
di: Li, Qiushi, et al.
Pubblicazione: (2025)

Data driven approaches in nanophotonics: A review of AI-enabled metadevices
di: Zhang, Huanshu, et al.
Pubblicazione: (2025)

MOCLIP: A Foundation Model for Large-Scale Nanophotonic Inverse Design
di: Rodionov, S., et al.
Pubblicazione: (2025)

Map Optical Properties to Subwavelength Structures Directly via a Diffusion Model
di: Rao, Shijie, et al.
Pubblicazione: (2024)

Differentiable Edge-based OPC
di: Chen, Guojin, et al.
Pubblicazione: (2024)

Super-Resolution for Interferometric Imaging: Model Comparisons and Performance Analysis
di: Abdioglu, Hasan Berkay, et al.
Pubblicazione: (2025)

Enhancing Deep Learning Based Structured Illumination Microscopy Reconstruction with Light Field Awareness
di: Shan, Long-Kun, et al.
Pubblicazione: (2025)