Boolean Logic Computing Based on Neuromorphic Transistor

Article Materials Science, Multidisciplinary

Multifunctional 2D MoS2 Optoelectronic Artificial Synapse with Integrated Arithmetic and Reconfigurable Logic Operations for In-Memory Neuromorphic Computing Applications

Mousam Charan Sahu et al.

Summary: This article introduces a 2D MoS2 optoelectronic artificial synapse that can imitate biological neural behavior and demonstrates reconfigurable logic gate operations as well as arithmetic calculations within the same device.

ADVANCED MATERIALS TECHNOLOGIES (2023)

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Article Chemistry, Multidisciplinary

Dual-Ferroelectric-Coupling-Engineered Two-Dimensional Transistors for Multifunctional In-Memory Computing

Zheng-Dong Luo et al.

Summary: This study explores the use of dual-gate two-dimensional ferroelectric field-effect transistors (2D FeFETs) as basic devices to address in-memory computing in both digital and analog spaces. Rich logic functionalities and key synaptic functions were achieved by diversifying the electrostatic behaviors in these transistors. A half-adder circuit was successfully constructed, and the potential for neuromorphic computing was demonstrated at the device and system levels.

ACS NANO (2022)

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Article Chemistry, Multidisciplinary

Multifunctional Optoelectronic Synapse Based on Ferroelectric Van der Waals Heterostructure for Emulating the Entire Human Visual System

Feng Guo et al.

Summary: The study introduces a novel multifunctional synaptic device based on 2D van der Waals heterostructure, which successfully emulates the entire biological visual system and shows potential for efficiently processing complex visual information.

ADVANCED FUNCTIONAL MATERIALS (2022)

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Article Computer Science, Information Systems

IGZO-based neuromorphic transistors with temperature-dependent synaptic plasticity and spiking logics

Ying Zhu et al.

Summary: Temperature is a significant factor that affects the properties of synaptic devices, and its study is important for neuromorphic computing and bionic perception. This research proposes indium-gallium-zinc-oxide (IGZO) based electrical-double-layer neuromorphic transistors for the emulation of temperature-dependent synaptic functions. The experimental results demonstrate the temperature-induced spiking AND to OR logic switching in an IGZO-based neuromorphic transistor with two in-plane gate electrodes.

SCIENCE CHINA-INFORMATION SCIENCES (2022)

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Article Nanoscience & Nanotechnology

Ultralow Light-Power Consuming Photonic Synapses Based on Ultrasensitive Perovskite/Indium-Gallium-Zinc-Oxide Heterojunction Phototransistors

Yong Cao et al.

Summary: The study introduces a light-stimulated synaptic device based on a phototransistor, achieving efficient photon-to-electron conversion and an intrinsic high-gain mechanism. By combining the advantages of appropriate materials and device structure, photosensitive synapses for photonic neural networks are provided.

ADVANCED ELECTRONIC MATERIALS (2022)

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Article Polymer Science

Artificial Synapses Based on Bovine Milk Biopolymer Electric-Double-Layer Transistors

Sung-Hun Kim et al.

Summary: This study proposes a synaptic transistor using natural bovine-milk-based biocompatible polymers as an electrical double layer (EDL). The capacitance of the milk-based polymer-EDL was evaluated, and important synaptic functions were successfully implemented. The milk-based biocompatible polymer-EDL membrane offers new opportunities for building eco-friendly and biodegradable artificial synaptic systems.

POLYMERS (2022)

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Article Materials Science, Multidisciplinary

Bidirectional Photoresponse in Perovskite-ZnO Heterostructure for Fully Optical-Controlled Artificial Synapse

Shuaipeng Ge et al.

Summary: Compared with electrical synapses, optoelectronic synapses have great potential for ultrafast computing and wireless communication in neuromorphic hardware. This research presents a synaptic device based on a perovskite-ZnO heterostructure, which exhibits bidirectional photoresponse and can achieve both potentiation and depression using ultraviolet (UV) and green light stimulation respectively. The study also demonstrates a series of logic functions in a fully-optical pathway.

ADVANCED OPTICAL MATERIALS (2022)

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Article Materials Science, Multidisciplinary

Multiposition Controllable Gate WS2/MoS2 Heterojunction Phototransistor and Its Applications in Optoelectronic Logic Operation and Emulation of Neurotransmission

Yichi Zhang et al.

Summary: This study proposes a phototransistor with a specially designed dual-gate structure based on WS2 and MoS2, which can improve the performance of electron devices by controlling carrier transport. The results show that this phototransistor has high responsivity and detectivity, and can be used for information transmission in neuromorphic architectures.

ADVANCED OPTICAL MATERIALS (2022)

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Article Chemistry, Physical

Tailoring neuroplasticity in flexible perovskite QDs-based optoelectronic synaptic transistors by dual modes modulation

Junyao Zhang et al.

Summary: A multi-functional and energy-efficient optoelectronic synaptic transistor has been designed to achieve the required synaptic plasticity with both photonic and electric modulation modes in one device.

NANO ENERGY (2022)

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Article Chemistry, Multidisciplinary

Tunable Bi-directional Photoresponse in Hybrid PtSe2-x Thin Films Based on Precisely Controllable Selenization Engineering

Yunlu Lian et al.

Summary: This study proposes a novel strategy for fabricating bi-directional photoresponse devices based on PtSe2-x films. By tuning the ratio of PtSe2 in the film, the direction of the photocurrent can be reversibly modulated in a broadband range, and the polarity switching wavelength from NPC to PPC can be further modulated. The tunable bi-directional photoresponse enables the device to mimic the fundamental functions of artificial synapses.

ADVANCED FUNCTIONAL MATERIALS (2022)

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Article Materials Science, Multidisciplinary

Bioinspired interactive neuromorphic devices br

Jinran Yu et al.

Summary: This review discusses the development and applications of bioinspired interactive neuromorphic devices. By integrating various sensors and synaptic devices, these devices can sense, store, and process information from the external environment and perform functions of perception, learning, memory, and computation. The article presents the basic model and performance metrics of these devices and discusses the recent progress in materials, device architectures, synaptic plasticity, and potential applications. It also proposes devices that can fuse multiple sensing signals to address more complex problems. Finally, the pros and cons of computing neurons and integrating sensory neurons are discussed, along with the perspectives on future development at the material, device, network, and system levels.

MATERIALS TODAY (2022)

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Article Materials Science, Multidisciplinary

Synapse transistors based on Li7La3Zr2O12 (LLZO) nanofibers/polyvinyl alcohol (PVA) composite gate dielectric for neuromorphic application

Yuxing Lei et al.

Summary: This study introduces the use of LLZO nanofibers/PVA composite gate dielectric to improve the ionic conductivity of PVA and construct a high-performance synaptic transistor. The composite gate dielectric is developed with high light transmittance and electric insulation, and the synaptic transistor successfully simulates various synaptic functions.

JOURNAL OF MATERIALS CHEMISTRY C (2022)

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Review Chemistry, Multidisciplinary

2D Material Based Synaptic Devices for Neuromorphic Computing

Guiming Cao et al.

Summary: This article provides a comprehensive review of synaptic devices based on 2D materials, including their advantages, challenges, and future development strategies.

ADVANCED FUNCTIONAL MATERIALS (2021)

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Article Chemistry, Physical

Ultrathin flexible InGaZnO transistor for implementing multiple functions with a very small circuit footprint

Chaoqi Dai et al.

Summary: This study proposes a flexible transistor with ultra-thin IGZO as the channel material, which can achieve a highly efficient circuit architecture and combine the functions of logic gates, memory, and sensors into a single cell. The transistor can implement typical logic gate functions, demonstrate memory effects with programming times as low as 5 ns, and display various artificial synaptic behaviors.

NANO RESEARCH (2021)

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Editorial Material Multidisciplinary Sciences

Epitaxial lift-off for controllable single-crystalline perovskites

Dengfeng Peng et al.

SCIENCE BULLETIN (2021)

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Article Chemistry, Multidisciplinary

Large-Scale and Flexible Optical Synapses for Neuromorphic Computing and Integrated Visible Information Sensing Memory Processing

Ya-Xin Hou et al.

Summary: Optoelectronic synapses combining synaptic and optical-sensing functions have advantages in neuromorphic computing for visual information processing and learning. A novel optical synapse based on a pyrenyl graphdiyne/graphene/PbS quantum dot heterostructure shows linear and symmetric conductance updates with multiple states, allowing accurate pattern recognition. This optical synapse demonstrates strong fault tolerance and is suitable for wearable electronics applications.

ACS NANO (2021)

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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)

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Article Nanoscience & Nanotechnology

Giant persistent photoconductivity in monolayer MoS2 field-effect transistors

A. George et al.

Summary: Research shows that ultraviolet light exposure induces persistent photoconductivity in monolayer MoS2, leading to a significant increase in conductivity. Unlike previous studies attributing the origin of photoconductivity to external factors, this study demonstrates that the effect mainly arises from intrinsic properties of monolayer MoS2.

NPJ 2D MATERIALS AND APPLICATIONS (2021)

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Article Chemistry, Multidisciplinary

Photoelectric Visual Adaptation Based on 0D-CsPbBr3-Quantum-Dots/2D-MoS2 Mixed-Dimensional Heterojunction Transistor

Dingdong Xie et al.

Summary: Adaptation is crucial for living systems, especially visual adaptation which helps organisms understand the real world better. Current adaptive devices face challenges, but utilizing photoelectric devices for biological visual adaptability could provide opportunities for bionic systems in complex environments.

ADVANCED FUNCTIONAL MATERIALS (2021)

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Review Chemistry, Multidisciplinary

Emerging Opportunities for 2D Semiconductor/Ferroelectric Transistor-Structure Devices

Zheng-Dong Luo et al.

Summary: Semiconductor technology is rapidly evolving, with potential for revolutionary innovations at the material and working principle level. The combination of 2D semiconductors and functional ferroelectrics offers new working principles and enhanced device performance, with the possibility of applications beyond traditional silicon systems. Recent demonstrations of novel device concepts based on 2D semiconductor/ferroelectric heterostructures are critically reviewed, highlighting their potential for driving exciting innovations in modern electronics.

ADVANCED MATERIALS (2021)

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Article Multidisciplinary Sciences

Flexible complementary circuits operating at sub-0.5 V via hybrid organic inorganic electrolyte-gated transistors

Yao Yao et al.

Summary: High-performance EGT complementary circuits with balanced electrical output for both p-type and n-type components have been achieved, enabling ultrahigh voltage gains and low driving voltages. NAND and NOR logic circuits with excellent logic response and impressive mechanical flexibility have been realized. The HCIN also enables amplification and monitoring of EOG signals, critical for wearable medical sensors and human-computer interaction interfaces.

PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2021)

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Article Chemistry, Physical

Synthesis of wafer-scale graphdiyne/graphene heterostructure for scalable neuromorphic computing and artificial visual systems

Zhi-Cheng Zhang et al.

Summary: A modified van der Waals epitaxy strategy has been proposed for synthesizing wafer-scale GDY film with high uniformity and controllable thickness on graphene surface, providing an ideal platform for constructing large-scale GDY/Gr-based optoelectronic synapse arrays. This technology enables essential synaptic behaviors for neuromorphic computing and high-accuracy image recognition.

NANO RESEARCH (2021)

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Article Multidisciplinary Sciences

Contact-electrification-activated artificial afferents at femtojoule energy

Jinran Yu et al.

Summary: Low power electronics with artificial intelligence and biological afferent characteristics are beneficial for neuromorphic sensory networks. The contact-electrification-activated artificial afferent at femtojoule energy reported in this study is capable of spatiotemporal recognition of external stimuli.

NATURE COMMUNICATIONS (2021)

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Article Chemistry, Physical

Flexible electro-optical neuromorphic transistors with tunable synaptic plasticity and nociceptive behavior

Huanhuan Wei et al.

Summary: The proposed electro-optical modulation synaptic device can emulate brain-like processing and nervous perception functions using a nanoparticle-based conductive channel. The device exhibits various synaptic functions and mechanical flexibility, making it a promising candidate for neuromorphic and flexible electronics applications.

NANO ENERGY (2021)

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Article Multidisciplinary Sciences

Retina-Inspired Organic Heterojunction-Based Optoelectronic Synapses for Artificial Visual Systems

Junyao Zhang et al.

Summary: This study presents optoelectronic synaptic transistors based on Ir(ppy)(3) and PQT-12 heterojunction structure, demonstrating optical perception efficiency and color recognition capability of the synaptic transistor arrays. The wavelength-tunability of synaptic behaviors enables the mimicry of mood-modulated visual learning and memorizing processes of humans, successfully showcasing the computational dynamics of synaptic outputs.

RESEARCH (2021)

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Article Chemistry, Multidisciplinary

Non-Volatile Electrolyte-Gated Transistors Based on Graphdiyne/MoS2 with Robust Stability for Low-Power Neuromorphic Computing and Logic-In-Memory

Bin-Wei Yao et al.

Summary: Emerging electrolyte-gated transistors (EGTs) with ion-storage layer, such as graphdiyne (GDY)/MoS2-based EGT, demonstrate robust stability, low energy consumption, and non-volatile characteristics, making them potential candidates for low-power neuromorphic computing beyond von Neumann architecture. These devices show promising analog switching performance, quasi-linear conductance update, and logic-in-memory functions, highlighting their potential for next-generation electronics with near-ideal accuracies.

ADVANCED FUNCTIONAL MATERIALS (2021)

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Article Chemistry, Multidisciplinary

Diffusive and Drift Halide Perovskite Memristive Barristors as Nociceptive and Synaptic Emulators for Neuromorphic Computing

Rohit Abraham John et al.

Summary: The focus of current research is on neuromorphic computing hardware, particularly on the efficient implementation of drift and diffusive memristors for deep learning and reservoir computing networks. While organic ionotronic electrochemical materials offer an alternative, the development of diffusive memristors with these materials is still in early stages, with the modulation of their switching dynamics yet to be explored.

ADVANCED MATERIALS (2021)

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Article Materials Science, Multidisciplinary

Freestanding multi-gate IZO-based neuromorphic transistors on composite electrolyte membranes

Xiangjing Wang et al.

Summary: Brain-inspired neuromorphic computing has achieved significant breakthroughs in flexibility and plasticity, providing vast prospects for next-generation wearable electronics and bionic robotics technology.

FLEXIBLE AND PRINTED ELECTRONICS (2021)

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Article Chemistry, Multidisciplinary

Ternary-Responsive Field-Effect Transistors and Multilevel Memories Based on Asymmetrically Functionalized Janus Few-Layer WSe2

Haixin Qiu et al.

Summary: A novel ternary-responsive FETs based on few-layer WSe2 were developed, showing superior functional complexity compared to normal mono-stimuli-responsive FETs. The devices can respond orthogonally to electric field and light irradiation, with an enhanced output current modulation efficiency of 87%.

ADVANCED FUNCTIONAL MATERIALS (2021)

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Article Chemistry, Multidisciplinary

Artificial Optoelectronic Synapses Based on TiNxO2-x/MoS2 Heterojunction for Neuromorphic Computing and Visual System

Wenxiao Wang et al.

Summary: An artificial optoelectronic synapse composed of Al/TiNxO2-x/MoS2/ITO (H-OSD) is proposed and experimentally realized, enabling various advanced synaptic functions. The potential applications in neuromorphic computing and visual information processing are highlighted, showcasing the versatility and effectiveness of the proposed optoelectronic synapse.

ADVANCED FUNCTIONAL MATERIALS (2021)

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Article Chemistry, Multidisciplinary

Linear Classification Function Emulated by Pectin-Based Polysaccharide-Gated Multiterminal Neuron Transistors

Jianmiao Guo et al.

Summary: Neuromorphic computing, merging learning and memory functions, surpasses traditional von Neumann architecture. By simulating neurons' multi-input signal integration, the efficiency of neuromorphic computing is enhanced. The artificial neuron proposed in this work shows promise in improving artificial neural networks' efficiency, playing a crucial role in neuromorphic computing.

ADVANCED FUNCTIONAL MATERIALS (2021)

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Article Chemistry, Multidisciplinary

Flexible Vertical Photogating Transistor Network with an Ultrashort Channel for In-Sensor Visual Nociceptor

Guangdi Feng et al.

Summary: A wearable artificial vision system with painful-perceptual abilities has been successfully developed for flexible electronic-skin applications using a novel vertical coplanar-multiterminal flexible transient photogating transistor network, which not only provides information security and wearability but also demonstrates visual pain-perceptual abilities.

ADVANCED FUNCTIONAL MATERIALS (2021)

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Review Automation & Control Systems

Recent Progress of Protein-Based Data Storage and Neuromorphic Devices

Junjie Wang et al.

Summary: Brain-inspired neuromorphic computing is a promising technology that overcomes the von Neumann bottleneck by focusing on energy efficiency, high speed, and parallelism, making it capable of processing massive complex tasks in the background of big data. Protein-based memories for data storage and neuromorphic computing show great application potential due to the unique properties of proteins such as sustainability, low cost, controllable hierarchical structure, intrinsic biocompatibility, and biodegradability.

ADVANCED INTELLIGENT SYSTEMS (2021)

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Article Materials Science, Multidisciplinary

Spectrum-dependent photonic synapses based on 2D imine polymers for power-efficient neuromorphic computing

Junyao Zhang et al.

Summary: Research on photonic synaptic transistors based on 2DPs shows that they can successfully emulate common synaptic functions with low energy consumption and spectrum-dependent synaptic behaviors.

INFOMAT (2021)

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Article Chemistry, Multidisciplinary

High photosensitivity light-controlled planar ZnO artificial synapse for neuromorphic computing

Wei Xiao et al.

Summary: A light-controlled artificial synapse based on radiofrequency sputtered ZnO thin film with high photosensitivity has successfully emulated various synaptic functions of the human brain. Furthermore, a three-layer neural network utilizing backpropagation achieved high classification accuracy, while the performance of the device was mainly determined by oxygen vacancy defects and chemisorbed oxygen on the surface of the ZnO film.

NANOSCALE (2021)

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Article Materials Science, Multidisciplinary

Double-gate InZnO synaptic transistor with aqueous-solution-processed wheat flour electrolyte

Yao-Hua Yang et al.

ORGANIC ELECTRONICS (2020)

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Article Chemistry, Physical

Room temperature synthesis of stable single silica-coated CsPbBr3 quantum dots combining tunable red emission of Ag-In-Zn-S for High-CRI white light-emitting diodes

Hongling Guan et al.

NANO ENERGY (2020)

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Article Chemistry, Multidisciplinary

Gate-Coupling-Enabled Robust Hysteresis for Nonvolatile Memory and Programmable Rectifier in Van der Waals Ferroelectric Heterojunctions

Wenhao Huang et al.

ADVANCED MATERIALS (2020)

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Article Chemistry, Multidisciplinary

A Sub-10 nm Vertical Organic/Inorganic Hybrid Transistor for Pain-Perceptual and Sensitization-Regulated Nociceptor Emulation

Guangdi Feng et al.

ADVANCED MATERIALS (2020)

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Review Energy & Fuels

Review of PVA-based gel polymer electrolytes in flexible solid-state supercapacitors: Opportunities and challenges

Saeideh Alipoori et al.

JOURNAL OF ENERGY STORAGE (2020)

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Article Chemistry, Multidisciplinary

Bidirectional All-Optical Synapses Based on a 2D Bi2O2Se/Graphene Hybrid Structure for Multifunctional Optoelectronics

Chia-Ming Yang et al.

ADVANCED FUNCTIONAL MATERIALS (2020)

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Review Physics, Applied

A comprehensive review on emerging artificial neuromorphic devices

Jiadi Zhu et al.

APPLIED PHYSICS REVIEWS (2020)

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Article Nanoscience & Nanotechnology

Dual-Gated MoS2 Transistors for Synaptic and Programmable Logic Functions

Jian-yu Du et al.

ADVANCED ELECTRONIC MATERIALS (2020)

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Article Chemistry, Multidisciplinary

Optically Stimulated Synaptic Devices Based on the Hybrid Structure of Silicon Nanomembrane and Perovskite

Lei Yin et al.

NANO LETTERS (2020)

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Article Nanoscience & Nanotechnology

Perovskite/Organic Semiconductor-Based Photonic Synaptic Transistor for Artificial Visual System

Dandan Hao et al.

ACS APPLIED MATERIALS & INTERFACES (2020)

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Article Chemistry, Multidisciplinary

Versatile Triboiontronic Transistor via Proton Conductor

Xixi Yang et al.

ACS NANO (2020)

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Article Chemistry, Multidisciplinary

Mechanoplastic Tribotronic Floating-Gate Neuromorphic Transistor

Xixi Yang et al.

ADVANCED FUNCTIONAL MATERIALS (2020)

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Article Chemistry, Multidisciplinary

Photon-Memristive System for Logic Calculation and Nonvolatile Photonic Storage

Ke Zhang et al.

ADVANCED FUNCTIONAL MATERIALS (2020)

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Article Chemistry, Physical

Zero-power optoelectronic synaptic devices

Wen Huang et al.

NANO ENERGY (2020)

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Article Engineering, Electrical & Electronic

Reconfigurable logic and neuromorphic circuits based on electrically tunable two-dimensional homojunctions

Chen Pan et al.

NATURE ELECTRONICS (2020)

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Article Chemistry, Multidisciplinary

Memristors Based on 2D Materials as an Artificial Synapse for Neuromorphic Electronics

Woong Huh et al.

ADVANCED MATERIALS (2020)

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Article Nanoscience & Nanotechnology

Bipolar-shell resurfacing for blue LEDs based on strongly confined perovskite quantum dots

Yitong Dong et al.

NATURE NANOTECHNOLOGY (2020)

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Article Engineering, Electrical & Electronic

Hf0.5Zr0.5O2 Ferroelectric Embedded Dual-Gate MoS2 Field Effect Transistors for Memory Merged Logic Applications

Kailiang Huang et al.

IEEE ELECTRON DEVICE LETTERS (2020)

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Article Nanoscience & Nanotechnology

Flexible and Transparent Artificial Synapse Devices Based on Thin-Film Transistors with Nanometer Thickness

Chaoqi Dai et al.

INTERNATIONAL JOURNAL OF NANOMEDICINE (2020)

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Article Chemistry, Multidisciplinary

A Logic-Memory Transistor with the Integration of Visible Information Sensing-Memory-Processing

Xiang Hou et al.

ADVANCED SCIENCE (2020)

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Article Chemistry, Multidisciplinary

Hardware implementation of photoelectrically modulated dendritic arithmetic and spike-timing-dependent plasticity enabled by an ion-coupling gate-tunable vertical 0D-perovskite/2D-MoS2 hybrid-dimensional van der Waals heterostructure

Yongchao Cheng et al.

NANOSCALE (2020)

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Article Multidisciplinary Sciences

Logic-in-memory based on an atomically thin semiconductor

Guilherme Migliato Marega et al.

NATURE (2020)

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Article Engineering, Electrical & Electronic

Solution-Processed Multiterminal Artificial Synapses Based on Ion-Doped Solid Electrolytes

Myung-Joo Park et al.

ACS APPLIED ELECTRONIC MATERIALS (2020)

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Article Nanoscience & Nanotechnology

Synthesis of Ultrathin Graphdiyne Film Using a Surface Template

Jingyuan Zhou et al.

ACS APPLIED MATERIALS & INTERFACES (2019)

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Review Physics, Applied

Memristor devices for neural networks

Hongsik Jeong et al.

JOURNAL OF PHYSICS D-APPLIED PHYSICS (2019)

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Article Chemistry, Multidisciplinary

Photoelectric Synaptic Plasticity Realized by 2D Perovskite

Yilin Sun et al.

ADVANCED FUNCTIONAL MATERIALS (2019)

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Article Chemistry, Multidisciplinary

Artificial Synapses Based on Multiterminal Memtransistors for Neuromorphic Application

Lin Wang et al.

ADVANCED FUNCTIONAL MATERIALS (2019)

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Article Chemistry, Multidisciplinary

Electrolyte-Gated Synaptic Transistor with Oxygen Ions

He-Yi Huang et al.

ADVANCED FUNCTIONAL MATERIALS (2019)

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Article Chemistry, Multidisciplinary

Spatiotemporal Information Processing Emulated by Multiterminal Neuro-Transistor Networks

Yongli He et al.

ADVANCED MATERIALS (2019)

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Article Nanoscience & Nanotechnology

Small footprint transistor architecture for photoswitching logic and in situ memory

Chunsen Liu et al.

NATURE NANOTECHNOLOGY (2019)

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Article Chemistry, Multidisciplinary

Multifunctional Optoelectronics via Harnessing Defects in Layered Black Phosphorus

Taimur Ahmed et al.

ADVANCED FUNCTIONAL MATERIALS (2019)

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Article Engineering, Electrical & Electronic

A 64-Tile 2.4-Mb In-Memory-Computing CNN Accelerator Employing Charge-Domain Compute

Hossein Valavi et al.

IEEE JOURNAL OF SOLID-STATE CIRCUITS (2019)

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Article Nanoscience & Nanotechnology

Optoelectronic resistive random access memory for neuromorphic vision sensors

Feichi Zhou et al.

NATURE NANOTECHNOLOGY (2019)

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Article Chemistry, Physical

Solar-blind SnO2 nanowire photo-synapses for associative learning and coincidence detection

Yang Chen et al.

NANO ENERGY (2019)

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Article Chemistry, Physical

Synaptic silicon-nanocrystal phototransistors for neuromorphic computing

Lei Yin et al.

NANO ENERGY (2019)

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Article Nanoscience & Nanotechnology

Synaptic Transistor Capable of Accelerated Learning Induced by Temperature-Facilitated Modulation of Synaptic Plasticity

Enlong Li et al.

ACS APPLIED MATERIALS & INTERFACES (2019)

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Article Chemistry, Analytical

Implementing an artificial synapse and neuron using a Si nanowire ion-sensitive field-effect transistor and indium-gallium-zinc-oxide memristors

Sungju Choi et al.

SENSORS AND ACTUATORS B-CHEMICAL (2019)

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Article Chemistry, Multidisciplinary

A MoS2/PTCDA Hybrid Heterojunction Synapse with Efficient Photoelectric Dual Modulation and Versatility

Shuiyuan Wang et al.

ADVANCED MATERIALS (2019)

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Article Chemistry, Physical

Ionic modulation and ionic coupling effects in MoS2 devices for neuromorphic computing

Xiaojian Zhu et al.

NATURE MATERIALS (2019)

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Article Nanoscience & Nanotechnology

Optoelectronic Properties of Printed Photogating Carbon Nanotube Thin Film Transistors and Their Application for Light-Stimulated Neuromorphic Devices

Lin Shao et al.

ACS APPLIED MATERIALS & INTERFACES (2019)

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Article Chemistry, Multidisciplinary

Coupled Ion-Gel Channel-Width Gating and Piezotronic Interface Gating in ZnO Nanowire Devices

Xixi Yang et al.

ADVANCED FUNCTIONAL MATERIALS (2019)

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Article Chemistry, Multidisciplinary

Tuning a Binary Ferromagnet into a Multistate Synapse with Spin-Orbit-Torque-Induced Plasticity

Yi Cao et al.

ADVANCED FUNCTIONAL MATERIALS (2019)

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Article Chemistry, Multidisciplinary

Piezotronic Graphene Artificial Sensory Synapse

Youhui Chen et al.

ADVANCED FUNCTIONAL MATERIALS (2019)

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Article Chemistry, Physical

Multi-spectral gate-triggered heterogeneous photonic neuro-transistors for power-efficient brain-inspired neuromorphic computing

Sung Woon Cho et al.

NANO ENERGY (2019)

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Article Chemistry, Multidisciplinary

2D electric-double-layer phototransistor for photoelectronic and spatiotemporal hybrid neuromorphic integration

Jie Jiang et al.

NANOSCALE (2019)

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Article Materials Science, Multidisciplinary

A multi-input light-stimulated synaptic transistor for complex neuromorphic computing

Weixin He et al.

JOURNAL OF MATERIALS CHEMISTRY C (2019)

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Article Chemistry, Multidisciplinary

An electro-photo-sensitive synaptic transistor for edge neuromorphic visual systems

Nian Duan et al.

NANOSCALE (2019)

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Article Nanoscience & Nanotechnology

Light-Stimulated Synaptic Devices Utilizing Interfacial Effect of Organic Field-Effect Transistors

Shilei Dai et al.

ACS APPLIED MATERIALS & INTERFACES (2018)

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Article Chemistry, Multidisciplinary

Van der Waals Coupled Organic Molecules with Monolayer MoS2 for Fast Response Photodetectors with Gate-Tunable Responsivity

Yu Huang et al.

ACS NANO (2018)

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