ArticleNature2022
Deep physical neural networks trained with backpropagation.
Article in Nature, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 142 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
142 citing papers in PubMed.
- Emerging integrated photonic neural network technologies for artificial intelligence: from devices to systems.National science review · 2026Review
- High-speed reservoir computing using photonic integrated circuit optical parametric oscillators.Science advances · 2026Article
- Viscoelastic nanomechanical devices for neuromorphic information processing.Science advances · 2026Article
- Few-shot neuromorphic vision in a nonlinear photonic network laser.Science advances · 2026Article
- Programmable photonic neural engine with all-optical nonlinear activation and 40,000 connections.Science advances · 2026Article
- A Physics-Informed Neural Network Scheme for Shortcuts to Adiabaticity in Three-Level Non-Hermitian Quantum Systems.Entropy (Basel, Switzerland) · 2026Article
- All-optical computing towards 100-GHz clock rates.Light, science & applications · 2026Article
- All-two-dimensional, ion-gating synaptic transistors for high-temperature and ultralow-energy-consumption neuromorphic applications.Science advances · 2026Article
- Trainable soft electronics with memory in liquid crystal polymers.Science advances · 2026Article
- Broadband, Compact, and Training-Free Optical Processors for Parallel Image Classification.ACS nano · 2026Article
- Biomimetic ferroelectric-semiconductor transistor enables neuronal multisensory integration.Nature communications · 2026Article
- Creation of a computational space with model-free metasurface neural network.Nature communications · 2026Article
- Physical Implementation of Optical Material-Based Neural Networks Processing Enabled by Long-Persistent Luminescence.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Trainable neuromorphic spintronic hardware Via analog finite-difference gradient methods.Nature communications · 2026Article
- Diffractive Optical Neural Networks: Pathways Toward Intelligent and Scalable Photonic Computing.Nanophotonics (Berlin, Germany) · 2026Review
- Training the parametric interactions in an analog bosonic quantum neural network with Fock basis measurement.Scientific reports · 2026Article
- Course assessment model in vocational education based on BPNN optimized by genetic algorithm.Scientific reports · 2026Article
- Article
- Metrics for spin-based computing.Nature reviews. Physics · 2026Article
- High-clockrate free-space optical in-memory computing.Light, science & applications · 2026Article
82 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Deep-learning models have become pervasive tools in science and engineering. However, their energy requirements now increasingly limit their scalability
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.