ReviewNanophotonics (Berlin, Germany)2024
Large-scale photonic inverse design: computational challenges and breakthroughs.
Review in Nanophotonics (Berlin, Germany), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed.
- MOCLIP: a foundation model for large-scale nanophotonic inverse design.Nature communications · 2026Article
- Inverse Design for Robust Inference in Integrated Computational Spectrometry.Nanophotonics (Berlin, Germany) · 2026Article
- Inverse-designed nanophotonic neural network accelerators for ultra-compact optical computing.Nature communications · 2026Article
- Metalens-style image synthesis for metalens imaging via image-to-image translation.Scientific reports · 2026Article
- Inverse Design of Thermal Imaging Metalens Achieving 100° Field of View on a 4 × 4 Microbolometer Array.Micromachines · 2025Article
- Optical see-through augmented reality via inverse-designed waveguide couplers.Nanophotonics (Berlin, Germany) · 2025Article
- Deep neural networks for inverse design of multimode integrated gratings with simultaneous amplitude and phase control.Nanophotonics (Berlin, Germany) · 2025Article
- Inverse Design of Multi-Wavelength Achromatic Metalens Integrated On-Chip with Planar Waveguide.Nanomaterials (Basel, Switzerland) · 2025Article
- Inverse-designed metasurfaces for wavefront restoration in under-display camera systems.Nanophotonics (Berlin, Germany) · 2025Article
- Time-domain adjoint optimization for metalens design toward enhanced broadband efficiency and uniformity.iScience · 2025Article
- Design strategies, manufacturing, and applications of radiative cooling technologies.Nanophotonics (Berlin, Germany) · 2025Review
- Inverse Design of Ultrathin Metamaterial Absorber.Nanomaterials (Basel, Switzerland) · 2025Article
- Freeform thin-film lithium niobate mode converter for photon-pair generation.Nanophotonics (Berlin, Germany) · 2025Article
- Colored Radiative Cooling: from Photonic Approaches to Fluorescent Colors and Beyond.Advanced materials (Deerfield Beach, Fla.) · 2025Review
- Deep Learning Design for Loss Optimization in Metamaterials.Nanomaterials (Basel, Switzerland) · 2025Article
- Adjoint method-based Fourier neural operator surrogate solver for wavefront shaping in tunable metasurfaces.iScience · 2025Article
- Recent advances in the inverse design of silicon photonic devices and related platforms using deep generative models.PeerJ. Computer science · 2025Article
- Inverse design of color routers in CMOS image sensors: toward minimizing interpixel crosstalk.Nanophotonics (Berlin, Germany) · 2024Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Recent advancements in inverse design approaches, exemplified by their large-scale optimization of all geometrical degrees of freedom, have provided a significant paradigm shift in photonic design. However, these innovative strategies still require full-wave Maxwell solutions to compute the gradients concerning the desired figure of merit, imposing, prohibitive computational demands on conventional computing platforms. This review analyzes the computational challenges associated with the design of large-scale photonic structures. It delves into the adequacy of various electromagnetic solvers for large-scale designs, from conventional to neural network-based solvers, and discusses their suitability and limitations. Furthermore, this review evaluates the research on optimization techniques, analyzes their advantages and disadvantages in large-scale applications, and sheds light on cutting-edge studies that combine neural networks with inverse design for large-scale applications. Through this comprehensive examination, this review aims to provide insights into navigating the landscape of large-scale design and advocate for strategic advancements in optimization methods, solver selection, and the integration of neural networks to overcome computational barriers, thereby guiding future advancements in large-scale photonic design.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.