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2D tribotronic transistors

JOURNAL OF PHYSICS-ENERGY (2023)

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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.

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Y. X. Cao et al.

Summary: This study proposes a photoelectric-stimulated artificial synaptic thin-film transistor using MXene and titanium dioxide as the floating gate and tunneling layer respectively. It successfully simulates typical synaptic behaviors and achieves image sharpening through a high-pass filter, demonstrating the potential of this device in neuromorphic vision applications.

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The self-powered artificial synapse mechanotactile sensing system by integrating triboelectric plasma and gas-ionic-gated graphene transistor

Song Zhang et al.

Summary: This study demonstrates a self-powered tactile sensing system by integrating a triboelectric plasma and a gas-ions-gated graphene transistor, which shows artificial synapse characteristics and neural behaviors, providing a new approach for the development of intelligent sensing fields.

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Highly sensitive self-powered pressure and strain sensor based on crumpled MXene film for wireless human motion detection

Yule Cao et al.

Summary: By utilizing crumpled MXene film as the single-electrode mode TENG, a self-powered pressure and strain sensor with high sensitivity and stretchability was achieved.

NANO ENERGY (2022)

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Article Chemistry, Physical

Touch-modulated van der Waals heterostructure with self-writing power switch for synaptic simulation

Caifang Gao et al.

Summary: This study introduces an innovative touch-modulated device based on indium selenide/hexagonal boron nitride/graphene van der Waals heterostructure, coupled with a triboelectric nanogenerator. The device achieves nonvolatile memory with self-writing power, durability, and multibit data storage through mechanical modulation, successfully imitating essential synaptic plasticity, including short-term and long-term potentiation/depression, and paired-pulse facilitation/depression.

NANO ENERGY (2022)

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Article Multidisciplinary Sciences

Tactile tribotronic reconfigurable p-n junctions for artificial synapses

Mengmeng Jia et al.

Summary: This study demonstrates a robust and continuously adjustable mechanoplastic transistor based on an integrated graphene/hexagonal boron nitride/tungsten diselenide heterostructure and a triboelectric nanogenerator. The transistor can manipulate and switch its working states under the modulation of triboelectric potential derived from mechanical actions, enabling the construction of a reconfigurable artificial synapse. The artificial synapse exhibits typical synaptic plasticity and dynamic control correlations, with ultra-low energy consumption.

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Article Chemistry, Multidisciplinary

Machine-Learning-Assisted Recognition on Bioinspired Soft Sensor Arrays

Yang Luo et al.

Summary: Soft interfaces with self-sensing capabilities are crucial for environment awareness and reaction. This study presents a bioinspired soft sensor array (BOSSA) that integrates pressure and material sensing based on the triboelectric effect. BOSSA demonstrates high accuracy in user identification and object placement/extraction, and its scalable fabrication enables large-area sensor arrays with high resolution and multimodal sensing abilities. This research has potential implications for intelligent monitoring and stimuli response in various applications.

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Contact Electrification at the Liquid-Solid Interface

Shiquan Lin et al.

Summary: Interfaces between a liquid and a solid are crucial in various scientific fields. Recent studies have found that electron transfer plays a dominant role in the formation of the charge layer at the interface. This review discusses the importance of electron transfer in liquid-solid contact electrification and introduces the triboelectric nanogenerator technique as a tool for probing charge transfer at such interfaces.

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Changhao Dai et al.

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Unexpected band gap evolution and high carrier mobility sparked by the orbital variation in two-dimensional GaGeX (X = S, Se, Te)

Lili Xu et al.

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PHYSICA E-LOW-DIMENSIONAL SYSTEMS & NANOSTRUCTURES (2022)

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All-in-one metal-oxide heterojunction artificial synapses for visual sensory and neuromorphic computing systems

Qihan Liu et al.

Summary: This work demonstrates an all-in-one artificial synapse integrating central nervous and sensory nervous functions utilizing low-dimensional metal-oxide heterojunction. By employing an ion-electrolyte gate, synaptic emulations modulated by electrical and photonic stimulus are integrated into a high-performance three-terminal artificial synapse. Various long-term and short-term synaptic plasticity functions can be achieved by altering the electrolyte-gate stimulus parameters. The emulated synaptic plasticity and maintained synaptic weight states enable the artificial synapses for neuromorphic computing. An artificial neural network based on these artificial synapses achieves Covid-19 chest image recognition (>85%). The photo-sensitive metal-oxide heterojunction enables the synaptic functions mimicking the biological visual sensory functions, responding to optical and UV stimulus. Photonic synaptic plasticity modulations responding to photonic stimulus parameters are investigated, and short-term/long-term synaptic plasticity transition is achieved. Furthermore, the dual-mode synaptic modulation combining photonic stimulus and gate stimulus is examined. Finally, an artificial neural network is demonstrated based on the dual-mode synaptic weight modulation, indicating the potential of the artificial synapse for compact artificial intelligence systems combining neuromorphic computing and visual sensory nervous functions.

NANO ENERGY (2022)

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Mechanical Modulation of 2D Electronic Devices at Atto-Joule Energy via Flexotronic Effect

Pengwen Guo et al.

Summary: In addition to electrical, optical, and magnetic fields, mechanical forces have shown a strong ability to modulate semiconductor devices. This study reports a large mechanical modulation of electronic properties in semiconductor materials with a large Young's modulus-based force FET. The FET exhibits ultralow switching energy dissipation and almost zero leakage power, surpassing the performance of electronic FETs. These findings pave the way for practical applications of high-power efficiency nanoforce modulation devices.

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Low-voltage solution-processed artificial optoelectronic hybrid-integrated neuron based on 2D MXene for multi-task spiking neural network

Rengjian Yu et al.

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NANO ENERGY (2022)

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Application, challenge and perspective of triboelectric nanogenerator as micro-nano energy and self-powered biosystem

Junyao Shen et al.

Summary: This article introduces the application of the triboelectric nanogenerator (TENG) as a new type of energy harvesting technology in various fields, and points out the problems and technical challenges that need to be solved in commercial applications. The strategies for improving the output performance and robustness of TENGs are summarized, and the future development direction of TENGs in distributed sensors and biomedical devices is proposed.

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Recent progress on two-dimensional neuromorphic devices and artificial neural network

Changfa Tian et al.

Summary: This article discusses how microelectronic devices mimic biological synapses to build artificial neuromorphic networks, focusing on the advantages and feasibility of neuromorphic devices based on two-dimensional materials in imitating synaptic behaviors. It also reviews the progress and future challenges of these devices.

CURRENT APPLIED PHYSICS (2021)

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Recent Progress in 2D-Nanomaterial-Based Triboelectric Nanogenerators

Yaqian Liu et al.

Summary: The integration of TENGs and 2D nanomaterials has led to the development of 2D-TENGs, which show improved output performance and potential applications in energy harvesting and self-powered sensing. Despite their advantages, there are still some challenges that may hinder the widespread use of 2D-TENGs.

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Debapriya Roy et al.

Summary: This study systematically investigates the performance of double gate MOSFETs with an ultrathin embedded dielectric film. The results show that optimal performance can be achieved by wisely choosing the thickness and dielectric constant of the embedded film, providing guidelines for the design of high performance and low power nanoscale logic devices.

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Promises and prospects of two-dimensional transistors

Yuan Liu et al.

Summary: The article reviews the promise and current status of 2D transistors, emphasizing the potential misestimation or misinterpretation of widely used device parameters. It suggests using more reliable methods to assess the potential of diverse 2D semiconductors and highlights key technical challenges in optimizing the performance of 2D transistors.

NATURE (2021)

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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.

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Self-powered bifunctional sensor based on tribotronic planar graphene transistors

Yanfang Meng et al.

Summary: With the advancement in material science, micro-nano-fabrication, and microelectronics, higher level requirements are posed on electronic skins (E-skin) for lower energy consumption and multiple functions. Scientists and mechanists are making concerted efforts to meet these demands. By incorporating triboelectric nanogenerators (TENG) into field effect transistors (FETs), lower energy consumption for sensors can be achieved, while the use of synaptic transistors can enhance sensor intelligence to deal with frequency reflections. Additionally, the configuration of FET using the electrolyte gate dielectrics of FET-ion gel as the electrification layer continues to be developed for high efficiency and compact mechanosensation adoption.

SCIENTIFIC REPORTS (2021)

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Theoretical Prediction of Two-Dimensional Materials, Behavior, and Properties

Evgeni S. Penev et al.

Summary: Predictive modeling of two-dimensional (2D) materials lies at the intersection of two rapidly growing interests: the exploration of 2D materials in experimental labs and the development of theoretical-computational models for materials. This field encompasses modeling methods, philosophical assessments, and practical examples related to the structures, properties, functionalities, and synthetic routes of 2D materials.

ACS NANO (2021)

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Triboelectric potential tuned dual-gate IGZO transistor for versatile sensory device

Feixia Tan et al.

Summary: The proposed device-level sensory platform based on triboelectric potential tuned dual-gate IGZO transistors can be used for various sensor applications and artificial intelligence fields.

NANO ENERGY (2021)

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Triboelectric bending sensor based smart glove towards intuitive multi-dimensional human-machine interfaces

Yang Luo et al.

Summary: The development of advanced human-machine interface technology has led to the creation of a BA-TENG sensor for high-sensitivity multi-dimensional HMI gloves, achieving user identification virtual keyboard through machine learning techniques, with wide applications in smart homes and robotics.

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Yang Luo et al.

Summary: The creatinine nanosensor developed by PANI and PDMS exhibits high sensitivity, good selectivity to creatinine, supports bending angle measurements, and enables continuous and non-invasive detection.

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Multibit tribotronic nonvolatile memory based on van der Waals heterostructures

Mengmeng Jia et al.

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NANO ENERGY (2021)

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Mechanoplastic tribotronic two-dimensional multibit nonvolatile optoelectronic memory

Jing Zhao et al.

Summary: The novel MoS2 nonvolatile memory combined with nanographene as floating gate enables multilevel storage state triggered by both mechanical and optical stimulation without needing extra gate voltages. The device demonstrates high programming/erasing current ratio, performance stability over cycles, and retention time exceeding 105 seconds. The extremely high photoresponsivity of MoS2 optical memory and stable flexibility make it feasible for integrated devices in wearable applications.

NANO ENERGY (2021)

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Bioinspired mechano-photonic artificial synapse based on graphene/MoS2 heterostructure

Jinran Yu et al.

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NANO ENERGY (2021)

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