ArticleNature nanotechnology2025
Fully integrated multi-mode optoelectronic memristor array for diversified in-sensor computing.
Article in Nature nanotechnology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers.
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Who cites it
50 citing papers in PubMed.
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- Spectrally Partitioned All-Optical Memristors for Highly Linear Neuromorphic Vision Systems.Nano-micro letters · 2026Article
- Instability-driven electrohydrodynamic neurons for probabilistic computing.Nature communications · 2026Article
- Dual-ferroelectric stacked high-performance field-effect transistor.Nature communications · 2026Article
- Neuromorphic Devices and Computing for Sensing, Memory, and Control.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Review
- Wavelength-Dependent Negative/Positive Photoresponse and Infrared Polarization Sensitivity of Two-Dimensional PdSeSmall (Weinheim an der Bergstrasse, Germany) · 2026Article
- Reconfigurable ferroelectric transistor array for embodied neuromorphic vision with hardware-native sensing, computing, and activation.Science advances · 2026Article
- Programmable memtransistor array with temporal dynamics modulation for efficient time-series data processing.Nature communications · 2026Article
- Two-terminal β-GaLight, science & applications · 2026Article
- Artificial sparse neuron dendrites for visual information inference.Science advances · 2026Article
- High encoding-sensitivity vision sensor with complementary nonlinear neuromorphic computing.Nature communications · 2026Article
- Electrochemical in-biosensing computing.National science review · 2026Article
- Configuration-Selective Photocurrent Enhancement Induced by Static Domain Walls in Two-Dimensional Ferroelectric InNanomaterials (Basel, Switzerland) · 2026Article
- Advances in neuroprostheses: interfaces, materials, and applications.Nano convergence · 2026Review
- Neuromorphic Near-Sensor and In-Sensor Computing Enabled by Next-Generation Material-Based Sensors.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Review
- Ferroelectric Devices for In-Memory and In-Sensor Computing.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Review
- Trends and Prospects of Biometrics: From Sensing to Perception and Cognition.Sensors (Basel, Switzerland) · 2026Article
- In-Sensor-Memory Computing for Post-Von Neumann Intelligence: A Perspective.Nano-micro letters · 2026Article
Corrections and comments
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Authors and funding
26 authors.
Funding
Abstract
In-sensor computing, which integrates sensing, memory and processing functions, has shown substantial potential in artificial vision systems. However, large-scale monolithic integration of in-sensor computing based on emerging devices with complementary metal-oxide-semiconductor (CMOS) circuits remains challenging, lacking functional demonstrations at the hardware level. Here we report a fully integrated 1-kb array with 128 × 8 one-transistor one-optoelectronic memristor (OEM) cells and silicon CMOS circuits, which features configurable multi-mode functionality encompassing three different modes of electronic memristor, dynamic OEM and non-volatile OEM (NV-OEM). These modes are configured by modulating the charge density within the oxygen vacancies via synergistic optical and electrical operations, as confirmed by differential phase-contrast scanning transmission electron microscopy. Using this OEM system, three visual processing tasks are demonstrated: image sensory pre-processing with a recognition accuracy enhanced from 85.7% to 96.1% by the NV-OEM mode, more advanced object tracking with 96.1% accuracy using both dynamic OEM and NV-OEM modes and human motion recognition with a fully OEM-based in-sensor reservoir computing system achieving 91.2% accuracy. A system-level benchmark further shows that it consumes over 20 times less energy than graphics processing units. By monolithically integrating the multi-functional OEMs with Si CMOS, this work provides a cost-effective platform for diverse in-sensor computing applications.
Identifiers
39516386What 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.