☆ 4.8 Article

One-Phototransistor-One-Memristor Array with High-Linearity Light-Tunable Weight for Optic Neuromorphic Computing

ADVANCED MATERIALS (2023)

Related references

Note: Only part of the references are listed.

Article Nanoscience & Nanotechnology

All-in-one two-dimensional retinomorphic hardware device for motion detection and recognition

Zhenhan Zhang et al.

Summary: This study introduces a hardware device inspired by the retina, with all-in-one perception, memory, and computing capabilities for the detection and recognition of moving objects. It achieves fast and efficient detection and recognition, outperforming previous results.

NATURE NANOTECHNOLOGY (2022)

Add to Collection

Article Engineering, Electrical & Electronic

Bioinspired in-sensor visual adaptation for accurate perception

Fuyou Liao et al.

Summary: This study presents bioinspired vision sensors based on molybdenum disulfide phototransistors that mimic the adaptive behavior of human eyes. By introducing charge trap states, the photosensitivity of the devices can be dynamically modulated under different lighting conditions, providing highly localized and dynamic modulation of photosensitivity at the pixel level and creating an effective perception range of up to 199 dB.

NATURE ELECTRONICS (2022)

Add to Collection

Article Multidisciplinary Sciences

Programmable black phosphorus image sensor for broadband optoelectronic edge computing

Seokhyeong Lee et al.

Summary: The authors report the realization of a programmable image sensor based on black phosphorus that can perform multispectral imaging and analog in-memory computing in the near- to mid-infrared range. The sensor enables in-sensor computing, reducing communication latency and power consumption. This multifunctional infrared image sensor has great potential for distributed and remote multispectral sensing applications.

NATURE COMMUNICATIONS (2022)

Add to Collection

Review Nanoscience & Nanotechnology

Dynamical memristors for higher-complexity neuromorphic computing

Suhas Kumar et al.

Summary: Research on electronic devices and materials is driven by the slowdown of transistor scaling and the growth of computing needs. Using devices like memristors to achieve complex dynamics enables new computing architectures with high energy efficiency and computing capacity.

NATURE REVIEWS MATERIALS (2022)

Add to Collection

Article Chemistry, Physical

Tunability of near infrared opto-synaptic properties of thin MoO3 films fabricated by atomic layer deposition

Hongyan Xu et al.

Summary: Thin MoO3 films were fabricated using atomic layer deposition technique, and their crystalline phase stabilization and oxygen vacancies enhancement were observed after annealing. The films exhibited memristive and opto-synaptic functionalities under infrared light illumination, which could simplify circuits in advanced opto-electronic systems and neuro-optoelectronic instruments.

APPLIED SURFACE SCIENCE (2022)

Add to Collection

Article Materials Science, Multidisciplinary

Programmable van-der-Waals heterostructure-enabled optoelectronic synaptic floating-gate transistors with ultra-low energy consumption

Yilin Sun et al.

Summary: In this study, a programmable optoelectronic synaptic floating-gate transistor based on multilayer graphene/h-BN/MoS2 van der Waals heterostructures was demonstrated. The device achieved both plasticity emulation and modulation, and had a large memory ratio between program and erase states due to the dynamic tunneling process of photogenerated carriers. By applying a program/erase voltage spike, the device could function as a functional or silent synapse, providing programmable operation in optoelectronic synaptic transistors. The program state also resulted in ultra-low energy consumption per light spike event.

INFOMAT (2022)

Add to Collection

Article Nanoscience & Nanotechnology

Black Phosphorus Nanosheet/Melamine Cyanurate Assemblies as Functional Active Layers for Artificial Synapse Memristors

Yu-Ling Hsieh et al.

Summary: This study demonstrates an effective method for high-quality exfoliation of BP in aqueous solution, and explores an extraction route for integrating BP with a supramolecular complex into memristors.

ACS APPLIED NANO MATERIALS (2021)

Add to Collection

Article Chemistry, Multidisciplinary

All-Optically Controlled Memristor for Optoelectronic Neuromorphic Computing

Lingxiang Hu et al.

Summary: Neuromorphic computing (NC) is a new generation of artificial intelligence, with optoelectronic memristors considered promising candidates in this field. Researchers have developed an all-optically controlled analog memristor that can reversibly tune the memconductance by varying the wavelength of controlling light, showing potential for highly efficient applications in optoelectronic neural networks.

ADVANCED FUNCTIONAL MATERIALS (2021)

Add to Collection

Article Chemistry, Multidisciplinary

Fully Light-Controlled Memory and Neuromorphic Computation in Layered Black Phosphorus

Taimur Ahmed et al.

Summary: This study introduces a neuromorphic imaging element based on a 2D black phosphorus material fully modulated by light, achieving visual memory, wavelength-selective multibit programming, and erasing functions. It has been successfully applied to machine learning for number classification and image recognition.

ADVANCED MATERIALS (2021)

Add to Collection

Article Chemistry, Multidisciplinary

MXene-ZnO Memristor for Multimodal In-Sensor Computing

Yan Wang et al.

Summary: Recent research has proposed in-sensor computing to improve the efficiency of artificial intelligence systems, with a focus on a multi-modal MXene-ZnO memristor that combines visual data sensing, RH sensing, and pre-processing functions. This new memristor emulates the adaptive behavior of the human eye and has the potential to contribute to the development of intelligence in device-level implementations.

ADVANCED FUNCTIONAL MATERIALS (2021)

Add to Collection

Article Chemistry, Multidisciplinary

A Hippocampus-Inspired Dual-Gated Organic Artificial Synapse for Simultaneous Sensing of a Neurotransmitter and Light

Hae Rang Lee et al.

Summary: In this study, a dual-gate organic synaptic transistor inspired by hippocampal synapses was developed to detect neurotransmitter dopamine and light simultaneously, showing effective memory consolidation upon exposure to dopamine and polychromatic light. This proof-of-concept organic neuromorphic system combining a chemical sensor and a photosensor opens new possibilities for developing low-power artificial synaptic multisensors and light-induced memory consolidative artificial synapses, contributing to the development of human-machine interfaces.

ADVANCED MATERIALS (2021)

Add to Collection

Article Engineering, Electrical & Electronic

Energy-efficient memcapacitor devices for neuromorphic computing

Kai-Uwe Demasius et al.

Summary: Research on memcapacitive devices utilizing charge shielding principle for parallel multiply-accumulate operations offers a highly energy-efficient approach while ensuring high precision. Fabrication of a crossbar array and training a neural network with it demonstrates the potential for high energy efficiency and precision in implementing parallel multiply-accumulate operations.

NATURE ELECTRONICS (2021)

Add to Collection

Article Nanoscience & Nanotechnology

Photoelectroactive artificial synapse and its application to biosignal pattern recognition

Seyong Oh et al.

Summary: This study investigates the bidirectional weight update operation in optoelectronic artificial synapses, utilizing optical and electrical stimuli for both potentiation and depression. The proposed synapse device shows outstanding analog memory characteristics and synaptic dynamics, achieving a maximum accuracy of 96.1% during training and inference simulations for human electrocardiogram patterns.

NPJ 2D MATERIALS AND APPLICATIONS (2021)

Add to Collection

Article Multidisciplinary Sciences

In-sensor reservoir computing for language learning via two-dimensional memristors

Linfeng Sun et al.

Summary: This study presents a sensor reservoir computing approach for language learning, utilizing two-dimensional memristors to achieve high dimensionality, nonlinearity, and fading memory. With an accuracy of 91% in classifying short sentences, it offers a low training cost and real-time solution for processing temporal and sequential signals in machine learning applications at the edge.

SCIENCE ADVANCES (2021)

Add to Collection

Review Chemistry, Multidisciplinary

A Review of Phototransistors Using Metal Oxide Semiconductors: Research Progress and Future Directions

Hyukjoon Yoo et al.

Summary: Research on metal oxide phototransistors is still in its early stages, with recent studies focusing on introducing absorption layers to improve the range of light wavelengths and the persistent photocurrent phenomenon. The materials used for the absorption layer are diverse, including oxides, chalcogenides, organic materials, perovskites, and nanodots.

ADVANCED MATERIALS (2021)

Add to Collection

Review Chemistry, Multidisciplinary

Artificial Sensory Memory

Changjin Wan et al.

ADVANCED MATERIALS (2020)

Add to Collection

Article Multidisciplinary Sciences

Ultrafast machine vision with 2D material neural network image sensors

Lukas Mennel et al.

NATURE (2020)

Add to Collection

Editorial Material Multidisciplinary Sciences

In-sensor computing for machine vision

Yang Chai

NATURE (2020)

Add to Collection

Article Multidisciplinary Sciences

A biomimetic eye with a hemispherical perovskite nanowire array retina

Leilei Gu et al.

NATURE (2020)

Add to Collection

Article Chemistry, Multidisciplinary

An Atomically Thin Optoelectronic Machine Vision Processor

Houk Jang et al.

ADVANCED MATERIALS (2020)

Add to Collection

Article Multidisciplinary Sciences

Gate-tunable van der Waals heterostructure for reconfigurable neural network vision sensor

Chen-Yu Wang et al.

SCIENCE ADVANCES (2020)

Add to Collection

Article Engineering, Electrical & Electronic

An aquatic-vision-inspired camera based on a monocentric lens and a silicon nanorod photodiode array

Min Sung Kim et al.

NATURE ELECTRONICS (2020)

Add to Collection

Article Chemistry, Multidisciplinary

Spike Encoding with Optic Sensory Neurons Enable a Pulse Coupled Neural Network for Ultraviolet Image Segmentation

Quantan Wu et al.

NANO LETTERS (2020)

Add to Collection

Article Engineering, Electrical & Electronic

Physically Transient Optic-Neural Synapse for Secure In-Sensor Computing

Bingjie Dang et al.

IEEE ELECTRON DEVICE LETTERS (2020)

Add to Collection

Article Engineering, Electrical & Electronic

Near-sensor and in-sensor computing

Feichi Zhou et al.

NATURE ELECTRONICS (2020)

Add to Collection

Review Physics, Applied

Physics for neuromorphic computing

Danijela Markovic et al.

NATURE REVIEWS PHYSICS (2020)

Add to Collection

Article Multidisciplinary Sciences

Memory phototransistors based on exponential-association photoelectric conversion law

Zhibin Shao et al.

NATURE COMMUNICATIONS (2019)

Add to Collection

Article Chemistry, Multidisciplinary

Optically Stimulated Artificial Synapse Based on Layered Black Phosphorus

Taimur Ahmed et al.

SMALL (2019)

Add to Collection

Article Nanoscience & Nanotechnology

Optoelectronic resistive random access memory for neuromorphic vision sensors

Feichi Zhou et al.

NATURE NANOTECHNOLOGY (2019)

Add to Collection

Article Chemistry, Multidisciplinary

Environment-Adaptable Artificial Visual Perception Behaviors Using a Light-Adjustable Optoelectronic Neuromorphic Device Array

Sung Min Kwon et al.

ADVANCED MATERIALS (2019)

Add to Collection

Article Multidisciplinary Sciences

Efficient and self-adaptive in-situ learning in multilayer memristor neural networks

Can Li et al.

NATURE COMMUNICATIONS (2018)

Add to Collection

Article Multidisciplinary Sciences

Artificial optic-neural synapse for colored and color-mixed pattern recognition

Seunghwan Seo et al.

NATURE COMMUNICATIONS (2018)

Add to Collection

Article Chemistry, Multidisciplinary

Ultra-Wideband Multi-Dye-Sensitized Upconverting Nanoparticles for Information Security Application

Jongha Lee et al.

ADVANCED MATERIALS (2017)

Add to Collection

Article Optics

Charge-integrating organic heterojunction phototransistors for wide-dynamic-range image sensors

Adrien Pierre et al.

NATURE PHOTONICS (2017)

Add to Collection

Article Multidisciplinary Sciences

Face classification using electronic synapses

Peng Yao et al.

NATURE COMMUNICATIONS (2017)

Add to Collection

Article Chemistry, Multidisciplinary

Brain-Inspired Photonic Neuromorphic Devices using Photodynamic Amorphous Oxide Semiconductors and their Persistent Photoconductivity

Minkyung Lee et al.

ADVANCED MATERIALS (2017)

Add to Collection

Article Multidisciplinary Sciences

Synergistic Effect of Surface Plasmonic particles and Surface Passivation layer on ZnO Nanorods Array for Improved Photoelectrochemical Water Splitting

Yichong Liu et al.

SCIENTIFIC REPORTS (2016)

Add to Collection

Article Multidisciplinary Sciences

Training andoperation of an integrated neuromorphic network based on metal-oxide memristors

M. Prezioso et al.

NATURE (2015)

Add to Collection

Article Chemistry, Multidisciplinary

Multibit Data Storage States Formed in Plasma-Treated MoS2 Transistors

Mikai Chen et al.

ACS NANO (2014)

Add to Collection

Article Multidisciplinary Sciences

Electrochemical dynamics of nanoscale metallic inclusions in dielectrics

Yuchao Yang et al.

NATURE COMMUNICATIONS (2014)

Add to Collection

Article Multidisciplinary Sciences

Deformation-induced structural transition in body-centred cubic molybdenum

S. J. Wang et al.

NATURE COMMUNICATIONS (2014)

Add to Collection

Article Multidisciplinary Sciences

Observation of conducting filament growth in nanoscale resistive memories

Yuchao Yang et al.

NATURE COMMUNICATIONS (2012)

Add to Collection

Review Neurosciences

Transcriptional regulation of photoreceptor development and homeostasis in the mammalian retina

Anand Swaroop et al.

NATURE REVIEWS NEUROSCIENCE (2010)

Add to Collection

© Peeref 2019-2024. All rights reserved.