Outlook for inverse design in nanophotonics

Abstract

Recent advancements in computational inverse design have begun to reshape the landscape of structures and techniques available to nanophotonics. Here, we outline a cross section of key developments at the intersection of these two fields: moving from a recap of foundational results to motivation of emerging applications in nonlinear, topological, near-field and on-chip optics.

13 pages, 6 figures

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• Topological Photonics
• The physics of exceptional points
• How to face the loss in plasmonics and metamaterials
• Loss-induced suppression and revival of lasing
• Sub-diffractional, volume-confined polaritons in a natural hyperbolic material: hexagonal boron nitride
• Robust topology optimization of three-dimensional photonic-crystal band-gap structures
• Enhanced nonlinear frequency conversion and Purcell enhancement at exceptional points

Cited by in corpus (257)

• Deep physical neural networks enabled by a backpropagation algorithm for arbitrary physical systems
• Physics-informed neural networks for inverse problems in nano-optics and metamaterials
• Quantum Simulators: Architectures and Opportunities
• Deep learning in nano-photonics: inverse design and beyond
• Roadmap on Spin-Wave Computing
• Tunable nanophotonics enabled by chalcogenide phase-change materials
• Global optimization of dielectric metasurfaces using a physics-driven neural network
• Wave Physics as an Analog Recurrent Neural Network
• Adjoint method and inverse design for nonlinear nanophotonic devices
• Selection Rules for Quasi-Bound States in the Continuum
• High-NA Achromatic Metalenses by Inverse Design
• Intelligent Nanophotonics: Merging Photonics and Artificial Intelligence at the Nanoscale
• Entanglement of Nanophotonic Quantum Memory Nodes in a Telecom Network
• Inverse design enables large-scale high-performance meta-optics reshaping virtual reality
• Inverse design in photonics by topology optimization: tutorial
• A general framework for scintillation in nanophotonics
• Quantum network nodes based on diamond qubits with an efficient nanophotonic interface
• Inverse design of photonic crystals through automatic differentiation
• Machine-Learning-Assisted Metasurface Design for High-Efficiency Thermal Emitter Optimization
• Integrated quantum photonics with silicon carbide: challenges and prospects
• Nanoscale neural network using non-linear spin-wave interference
• An integrated nanophotonic quantum register based on silicon-vacancy spins in diamond
• On-chip integrated laser-driven particle accelerator
• Deep learning approach based on dimensionality reduction for designing electromagnetic nanostructures
• Roadmap on spatiotemporal light fields
• Topology optimization of freeform large-area metasurfaces
• Prospects and applications of photonic neural networks
• Inverse-Designed Diamond Photonics
• Meta-optics for spatial optical analog computing
• Simulator-based training of generative models for the inverse design of metasurfaces
• Solving integral equations in free-space with inverse-designed ultrathin optical metagratings
• Nanometer-scale photon confinement in topology-optimized dielectric cavities
• Inverse-design magnonic devices
• Topological Insulators by Topology Optimization
• Broadband lightweight flat lenses for longwave-infrared imaging
• On-Chip Spin-Orbit Controlled Excitation of Quantum Emitters Coupled to Hybrid Plasmonic Nanocircuits
• Spin-Preserving Chiral Photonic Crystal Mirror
• Deep Learning Reveals Underlying Physics of Light-matter Interactions in Nanophotonic Devices
• Computational inverse design for cascaded systems of metasurface optics
• Photonic integrated beam delivery in a rubidium 3D magneto-optical trap
• Elucidating the Behavior of Nanophotonic Structures Through Explainable Machine Learning Algorithms
• Active learning of deep surrogates for PDEs: Application to metasurface design
• Plasmonic colours predicted by deep learning
• Inverse design of photonic devices with strict foundry fabrication constraints
• Overlapping domains for topology optimization of large-area metasurfaces
• Inverse-designed low-index-contrast structures on silicon photonics platform for vector-matrix multiplication
• Tailoring microcombs with inverse-designed, meta-dispersion microresonators
• Computer-inspired Quantum Experiments
• Forward-Mode Differentiation of Maxwell's Equations
• Artificial Neural Networks for Photonic Applications: From Algorithms to Implementation
• Customized anti-reflection structure for perfect transmission through complex media
• Arbitrary linear transformations for photons in the frequency synthetic dimension
• 3D-Patterned Inverse-Designed Mid-Infrared Metaoptics
• Global Inverse Design Across Multiple Photonic Structure Classes Using Generative Deep Learning
• Physics-informed neural networks for imaging and parameter retrieval of photonic nanostructures from near-field data
• Deterministic and probabilistic deep learning models for inverse design of broadband acoustic cloak
• Metasurface-dressed two-dimensional on-chip waveguide for free-space light field manipulation
• Efficient training and design of photonic neural network through neuroevolution
• End-to-end metasurface inverse design for single-shot multi-channel imaging
• Fullwave Maxwell inverse design of axisymmetric, tunable, and multi-scale multi-wavelength metalenses
• General Inverse Design of Thin-Film Metamaterials With Convolutional Neural Networks
• Narrow-linewidth tin-vacancy centers in a diamond waveguide
• Shape deformation of nanoresonator: a quasinormal-mode perturbation theory
• Computational inverse design for ultra-compact single-piece metalenses free of chromatic and angular aberration
• Compact 200 line MATLAB code for inverse design in photonics by topology optimization: tutorial
• Iterative optimization of photonic crystal nanocavity designs by using deep neural networks
• Octave-spanning tunable parametric oscillation in nanophotonics
• Beamforming with metagratings at microwave frequencies: design procedure and experimental demonstration
• Inverse design of higher-order photonic topological insulators
• MetaNet: A new paradigm for data sharing in photonics research
• Inverse-design of high-dimensional quantum optical circuits in a complex medium
• Multi-objective and categorical global optimization of photonic structures based on ResNet generative neural networks
• Upper bounds on absorption and scattering
• Towards 3D-Printed Inverse-Designed Metaoptics
• A topological encoding method for data-driven photonics inverse design
• Creation of Optical Cat and GKP States Using Shaped Free Electrons
• 2023 Astrophotonics Roadmap: pathways to realizing multi-functional integrated astrophotonic instruments
• Metasurface optical characterization using quadriwave lateral shearing interferometry
• A neural operator-based surrogate solver for free-form electromagnetic inverse design
• Conceptual understanding through efficient inverse-design of quantum optical experiments
• Machine learning and evolutionary algorithm studies of graphene metamaterials for optimized plasmon-induced transparency
• Manifold Learning for Knowledge Discovery and Intelligent Inverse Design of Photonic Nanostructures: Breaking the Geometric Complexity
• Computational Bounds For Photonic Design
• Physics-enhanced deep surrogates for partial differential equations
• Engineering Quantum Light Sources with Flat Optics
• Inverse Design of Nanoparticles for Enhanced Raman Scattering
• Inverse design of plasma metamaterial devices for optical computing
• Enhancing Adjoint Optimization-based Photonics Inverse Design with Explainable Machine Learning
• Efficient simulation of bi-periodic, layered structures based on the T-matrix method
• Inverse-designed photon extractors for optically addressable defect qubits
• Computational bounds to light-matter interactions via local conservation laws
• Designing the self-assembly of arbitrary shapes using minimal complexity building blocks
• Planar narrow-band-pass filter based on Si resonant metasurface
• Inverse Design of Composite Metal Oxide Optical Materials based on Deep Transfer Learning
• Machine Learning Framework for Quantum Sampling of Highly-Constrained, Continuous Optimization Problems
• Nonequilibrium Thermodynamics of Quantum Friction
• Deep neural networks for the prediction of the optical properties and the free-form inverse design of metamaterials
• Fast Design of Plasmonic Metasurfaces Enabled by Deep Learning
• Probability-Density-Based Deep Learning Paradigm for the Fuzzy Design of Functional Metastructures
• Controlling the Minimal Feature Sizes in Adjoint Optimization of Nanophotonic Devices Using B-spline Surfaces
• Design of plasmonic directional antennas via evolutionary optimization
• Inverse Design of Grating Couplers Using the Policy Gradient Method from Reinforcement Learning
• Global $\mathbb{T}$ operator bounds on electromagnetic scattering: Upper bounds on far-field cross sections
• End-to-End Optimization of Metasurfaces for Imaging with Compressed Sensing
• $\mathbb{T}$-operator bounds on angle-integrated absorption and thermal radiation for arbitrary objects
• Wading through the void: Exploring quantum friction and nonequilibrium fluctuations
• Metasurface-Stabilized Optical Microcavities
• Neural Schrödinger Equation:Physical Law as Neural Network
• Tutorial: Exciton resonances for atomically-thin optics
• Bayesian optimization with improved scalability and derivative information for efficient design of nanophotonic structures
• High-efficiency high-NA metalens designed by maximizing the efficiency limit
• Material Scaling and Frequency-Selective Enhancement of Near-Field Radiative Heat Transfer for Lossy Metals in Two Dimensions via Inverse Design
• Absorption of scalar waves in correlated disordered media and its maximization using stealth hyperuniformity
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• Fundamental limits to attractive and repulsive Casimir--Polder forces
• Designing Collective Non-local Responses of Metasurfaces
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• Free-form inverse design of arbitrary dispersive materials in nanophotonics
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• GRIDS-Net: Inverse shape design and identification of scatterers via geometric regularization and physics-embedded deep learning
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• Hierarchical Mean-Field $\mathbb{T}$ Operator Bounds on Electromagnetic Scattering: Upper Bounds on Near-Field Radiative Purcell Enhancement
• Hybridization of Singular Plasmons via Transformation Optics
• Illustrated tutorial on global optimization in nanophotonics
• Topology Optimization of Surface-enhanced Raman Scattering Substrates
• Complete vectorial optical mode converter using multi-layer metasurface
• Deep Photonic Networks with Arbitrary and Broadband Functionality
• Coherent enhancement of optical remission in diffusive media
• Trace formulation for photonic inverse design with incoherent sources
• Predicting nonlinear optical scattering with physics-driven neural networks
• Quantum Receiver Enhanced by Adaptive Learning
• Auxiliary Physics-Informed Neural Networks for Forward, Inverse, and Coupled Radiative Transfer Problems
• Multi-scale photonic emissivity engineering for relativistic lightsail thermal regulation
• Wavelength-scale Optical Parametric Oscillators
• Trace Expressions and Associated Limits for Non-Equilibrium Casimir Torque
• Fluorescence enhancement in topologically optimized gallium phosphide all-dielectric nanoantennas
• Reconfigurable nonlinear optical element using tunable couplers and inverse-designed structure
• Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems
• An efficient solver for the generalized normal modes of non-uniform open optical resonators
• Machine-Learning-Assisted Photonic Device Development: A Multiscale Approach from Theory to Characterization
• Optimizing the chiral Purcell factor for unidirectional single photon emitters in topological photonic crystal waveguides using inverse design
• Inverse design of artificial two-level systems with Mössbauer nuclei in thin-film cavities
• Investigation of inverse design of multilayer thin-films with conditional invertible Neural Networks
• Density of photonic states in aperiodic structures
• Trade-offs in absorption and scattering by nanophotonic structures
• Fundamental bounds for scattering from absorptionless electromagnetic structures
• Inverse-designed dielectric cloaks for entanglement generation
• Inverse design of environment-induced coherence
• Implementing Non-Universal Features with a Random Matrix Theory Approach: Application to Space-to-Configuration Multiplexing
• Transcending shift-invariance in the paraxial regime via end-to-end inverse design of freeform nanophotonics
• Analytical criteria for designing multiresonance filters in scattering systems, with application to microwave metasurfaces
• Three-dimensional random dielectric colloid metamaterial with giant isotropic optical activity
• Fast dispersion tailoring of multimode photonic crystal resonators
• Broadband surface-emitting THz laser frequency combs with inverse-designed integrated reflectors
• Designing Multi-functional Metamaterials
• Inverse Design of Nonlinear Metasurfaces for Sum Frequency Generation
• XLuminA: An Auto-differentiating Discovery Framework for Super-Resolution Microscopy
• Designing Structures that Maximize Spatially Averaged Surface-Enhanced Raman Spectra
• Analysis and fabrication of a photonic crystal based anti-reflective coating for photovoltaics generated by evolutionary optimization
• Inverse design and experimental realization of plasma metamaterials
• Sequential Designs for Filling Output Spaces
• Inverse design of functional photonic patches by adjoint optimization coupled to the generalized Mie theory
• Interpretable inverse-designed cavity for on-chip nonlinear and quantum optics
• Inverse-designed dispersive time-varying nanostructures
• Photonics in Flatland: Challenges and Opportunities for Nanophotonics with 2D Semiconductors
• Inverse design of Mie resonators with minimal backscattering
• Optimal Inverse Design Based on Memetic Algorithms -- Part 2: Examples and Properties
• Metasurface-enabled non-orthogonal four-output polarization splitter for non-redundant full-Stokes imaging
• Seeded Topology Optimization for Commercial Foundry Integrated Photonics
• MaxwellNet: Physics-driven deep neural network training based on Maxwell's equations
• Surface-Normal Free-Space Beam Projection via Slow-Light Standing Wave Resonances in Extra-Large Near-Zero Index Grating Couplers
• Fundamental Bounds on the Performance of Monochromatic Passive Cloaks
• Chip-scale sub-Doppler atomic spectroscopy enabled by a metasurface integrated photonic emitter
• Inverse design of plasma metamaterial devices with realistic elements
• Deterministic and controllable photonic scattering media via direct laser writing
• Generating extreme quantum scattering in graphene with machine learning
• Approaching the upper limits of the local density of states via optimized metallic cavities
• Arbitrary control over multimode wave propagation for machine learning
• Physical Computing for Materials Acceleration Platforms
• Angle multifunctional dichroism in metasurfaces
• Inverse Design of Non-Equilibrium Steady-States: A Large Deviation Approach
• Dissipative stabilization of maximal entanglement between non-identical emitters via two-photon excitation
• Cavity QED based on strongly localized modes: exponentially enhancing single-atom cooperativity
• Spectral domain inverse design for accelerating nanocomposite metamaterials discovery
• Inverse design of a 1D dielectric metasurface by topology optimization: fluctuations-trend analysis assisted by a diamond-square algorithm
• Broadband biphoton generation and polarization splitting in a monolithic AlGaAs chip
• Frequency-resolved Purcell effect for the dissipative generation of steady-state entanglement
• Fast multi-channel inverse design through augmented partial factorization
• A physics-defined recurrent neural network to compute coherent light wave scattering on the millimetre scale
• Inverse design method for periodic and aperiodic metasurfaces based on the adjoint-method: metalens with random-like distributed nano-rods
• Programmable Space-Frequency Linear Transformations in Photonic Interlacing Architectures
• Towards nanophotonic optical isolation via inverse design of energy transfer in non-reciprocal media
• Fabrication uncertainty guided design optimization of a photonic crystal cavity by using Gaussian processes
• Inverse Design of All-dielectric Parallel-Plane Mirror Resonator
• Curvilinear coordinate Generalized Source Method for gratings with sharp edges
• Mode-Coupling-Driven Frequency Stabilization in Semiconductor Lasers with Bragg Grating Waveguide
• Departure from Babinet principle in metasurfaces supported by subwavelength dielectric slabs
• Markov Chains for Modeling Complex Luminescence, Absorption, and Scattering in Nanophotonic Systems
• Analysis and design of transition radiation in layered uniaxial crystals using Tandem neural networks
• Implementing commercial inverse design tools for compact, phase-encoded, plasmonic digital logic devices
• Can photonic heterostructures provably outperform single-material geometries?
• Design of a hybrid Mie-Tamm photonic structure as a highly directional GHz single-photon source
• Shape optimizations for body-assisted light-matter interactions
• Deep Reinforcement Learning for Radiative Heat Transfer Optimization Problems
• Designing metasurface optical interfaces for solid-state qubits using many-body adjoint shape optimization
• Many-Body Entanglement in Solid-State Emitters
• Meta-Designing Quantum Experiments with Language Models
• Nonlinear Quantum Electrodynamics of Epsilon-Near-Zero Nanocavities
• Efficient perturbative framework for coupling of radiative and guided modes in nearly periodic surfaces
• Topology optimization of dispersive plasmonic nanostructures in the time-domain
• Automated Discovery of Coupled Mode Setups
• Time-reversal-symmetry bounds on electromagnetic fields
• AI based design of 2D material integrated optical polarizers
• Lorentz Resonance in the Homogenization of Plasmonic Crystals
• Inverse design of multiresonance filters via quasi-normal mode theory
• relentless: Transparent, reproducible molecular dynamics simulations for optimization
• Efficient first-principles inverse design of nanolasers
• Experimental Demonstration of a Spin-Wave Lens Designed with Machine Learning
• Inverse design of arbitrary optical helicity patterns
• A Self-Evolving Agentic Framework for Metasurface Inverse Design
• Nonlocal metasurfaces for spectrally decoupled wavefront manipulation and eye tracking
• Poles of the Scattering Matrix: An Inverse Method for Designing Photonic Resonators
• Reducing Disorder-Induced Backscattering in Photonic Crystal Waveguides through Inverse Design
• Inverse Design of Broadband Antennas for Terahertz Devices Based on 2D Materials
• Constructing qubit edge states by inverse-designing the electromagnetic environment
• QOptCraft: A Python package for the design and study of linear optical quantum systems
• Self-Aligned Heterogeneous Quantum Photonic Integration
• Fast approximate solvers for metamaterials design in electromagnetism
• Eigenvalue-accelerated LDOS optimization of high-Q optical resonances
• Topology-optimized distributed 3d anisotropic Raman emission
• $\mathcal{T}$-matrix method for computation of second-harmonic generation upon optical wave scattering from clusters of arbitrary particles: Application to nonlinear optical interaction of bound states in the continuum
• Magnetic and electric Purcell factor control through geometry optimization of high index dielectric nanostructures
• Evolutionary algorithms converge towards evolved biological photonic structures
• Light confinement by local index tailoring in inhomogeneous dielectrics
• Gen-Fab: A Variation-Aware Generative Model for Predicting Fabrication Variations in Nanophotonic Devices
• Photonic Lightsails: Fast and Stable Propulsion for Interstellar Travel
• Modes, Bounds, and Synthesis of Optimal Electromagnetic Scatterers
• Using electrical resistance asymmetries to infer the geometric shapes of foundry patterned nanophotonic structures
• Achieving Diversity in Objective Space for Sample-efficient Search of Multiobjective Optimization Problems
• Gradient-based optimization of scatterer arrangements based on the T-matrix method
• Density-Functional Tight Binding Meets Maxwell: Unraveling the Mysteries of (Strong) Light-Matter Coupling Efficiently
• Manipulating the Quasi-Normal Modes of Radially Symmetric Resonators
• Few-particle scattering from localized quantum systems in spatially structured bosonic baths
• All-Optical Doubly Resonant Cavities for ReLU Function in Nanophotonic Deep Learning
• Next-generation interferometry with gauge-invariant linear optical scatterers
• Towards a universal meta-optics solver via large language models