ReviewNature communications2024
Diffractive optical computing in free space.
Review in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
47 citing papers in PubMed, 139 citations in OpenAlex.
- Polarization-dependent angularly selective dielectric reflector.Nature communications · 2026Article
- Ferroelectrically programmable lanthanide luminescent memristor.Nature communications · 2026Article
- Wavelength-Division Holographic Multiplexing via Cascaded Metasurfaces and THz-Spaced Microresonator Frequency Combs.Advanced materials (Deerfield Beach, Fla.) · 2026Article
- Spin-multiplexed point spread function engineering via dielectric metasurface for simultaneous optical differentiation and high-resolution imaging.Light, science & applications · 2026Article
- Broadband, Compact, and Training-Free Optical Processors for Parallel Image Classification.ACS nano · 2026Article
- Parallel execution of nonlinear logic circuits using reconfigurable free-space diffractive optics.Nature communications · 2026Article
- Snapshot 3D image projection using a diffractive decoder.Light, science & applications · 2026Article
- Meta-operators: all optical and wireless image processing via metasurfaces.Light, science & applications · 2026Article
- Artificial Intelligence-Driven Metasurfaces Spanning Multidimensional Light Field Control and Free Space Computing.Micromachines · 2026Review
- Nanosecond-latency all-optical fiber sensing with in-sensor computing.Light, science & applications · 2026Article
- Deep neural network inference on an integrated, reconfigurable photonic tensor processor.Nature communications · 2026Article
- Sub-100 Femtosecond All-Optical Modulation Beyond Electron-Phonon Limits.Nano-micro letters · 2026Article
- Diffractive Optical Neural Networks: Pathways Toward Intelligent and Scalable Photonic Computing.Nanophotonics (Berlin, Germany) · 2026Review
- Compact and programmable large-scale optical processor in free space.Light, science & applications · 2026Article
- Reconfigurable magneto-optical diffractive neural network with enhanced optical phase modulation.Scientific reports · 2026Article
- Arbitrary Total Angular Momentum Vectorial Holography Using Bi-Layer Metasurfaces.Advanced materials (Deerfield Beach, Fla.) · 2026Article
- Double-phase metasurface operators for all-optical image processing.Light, science & applications · 2026Article
- Anti-interference diffractive deep neural networks for multi-object recognition.Light, science & applications · 2026Article
- All-Optical Diffractive Operators for Rapid, Computer-Free Morphological Transformations.Nanophotonics (Berlin, Germany) · 2026Article
- Plasmonics Meets Metasurfaces: A Vision for Next Generation Planar Optical Systems.Micromachines · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Structured optical materials create new computing paradigms using photons, with transformative impact on various fields, including machine learning, computer vision, imaging, telecommunications, and sensing. This Perspective sheds light on the potential of free-space optical systems based on engineered surfaces for advancing optical computing. Manipulating light in unprecedented ways, emerging structured surfaces enable all-optical implementation of various mathematical functions and machine learning tasks. Diffractive networks, in particular, bring deep-learning principles into the design and operation of free-space optical systems to create new functionalities. Metasurfaces consisting of deeply subwavelength units are achieving exotic optical responses that provide independent control over different properties of light and can bring major advances in computational throughput and data-transfer bandwidth of free-space optical processors. Unlike integrated photonics-based optoelectronic systems that demand preprocessed inputs, free-space optical processors have direct access to all the optical degrees of freedom that carry information about an input scene/object without needing digital recovery or preprocessing of information. To realize the full potential of free-space optical computing architectures, diffractive surfaces and metasurfaces need to advance symbiotically and co-evolve in their designs, 3D fabrication/integration, cascadability, and computing accuracy to serve the needs of next-generation machine vision, computational imaging, mathematical computing, and telecommunication technologies.
Identifiers
What OpenQuestion holds
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.