Microneural Network System Based on MoS2/h-BN/Graphene van der Waals Heterojunction Transistor

Article Chemistry, Multidisciplinary

Highly Trustworthy In-Sensor Cryptography for Image Encryption and Authentication

Bangjie Shao et al.

Summary: This article introduces a method of encryption in the sensor, which achieves highly reliable encryption and authentication by binding the generated key with the image.

ACS NANO (2023)

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Article Nanoscience & Nanotechnology

Atomically thin optomemristive feedback neurons

Ghazi Sarwat Syed et al.

Summary: We introduce a two-dimensional heterojunction-based optomemristive neuron that demonstrates nonlinear and rectified integration of information, as well as optically broadcasting. This neuron has potential applications in machine learning, particularly in winner-take-all networks.

NATURE NANOTECHNOLOGY (2023)

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Article Multidisciplinary Sciences

A positive statistical benchmark to assess network agreement

Bingjie Hao et al.

Summary: The authors introduce a positive statistical benchmark to determine the maximum possible overlap between networks and assess the observed overlap. They propose a normalized overlap score, Normlap, to enhance comparisons between experimental networks. This method provides a computational alternative to network thresholding and validation.

NATURE COMMUNICATIONS (2023)

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Review Chemistry, Multidisciplinary

Van der Waals Layer Transfer of 2D Materials for Monolithic 3D Electronic System Integration: Review and Outlook

Jun-young Kim et al.

Summary: Two-dimensional materials have attracted attention for their potential in scientific breakthroughs and technological innovations. The integration of 2DMs on Si CMOS platform or flexible electronics has gained interest for applications such as back-end-of-line transistors, memory devices/ selectors, and sensors. The successful transfer of 2DM layers from growth substrate to Si is crucial for these applications, and various transfer methods leveraging van der Waals transfer capability have been developed. This review surveys and compares these transfer methods, focusing on 2D TMDC film transfer and 2DM template-assisted van der Waals growth/transfer of non-2D thin films.

ACS NANO (2023)

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Review Chemistry, Multidisciplinary

Recent Developments of Optoelectronic Synaptic Devices Based on Metal Halide Perovskites

Dandan Hao et al.

Summary: Massive data processing with high efficiency and low power consumption is needed for the development of artificial intelligence and information technology. The current computing systems with separated memory and processor consume a large amount of energy and have a slow running speed during massive data processing. To address this issue, the brain-inspired neuromorphic computing system has been developed, which provides hardware support for emulating biological synaptic functions and achieving highly intensive data processing with low power consumption. The optoelectronic synaptic device (OSD), as a neuromorphic device, is considered an ideal replacement for the von Neumann-based computer due to its ultrafast signal transmission, large bandwidth, low energy consumption, and wireless communication. Metal halide perovskites (MHPs), with their unique optoelectronic properties, have gained increasing attention as effective photosensitive materials in OSDs. This review introduces the recent progress on MHPs-based OSDs (MHPs-OSDs), including the structures and properties of MHPs, and the architectures and performance characteristics of MHPs-OSDs. The applications of MHPs-OSDs are also presented. Finally, the outlook and opportunities of MHPs-OSDs are discussed.

ADVANCED FUNCTIONAL MATERIALS (2023)

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Article Computer Science, Artificial Intelligence

Echo state graph neural networks with analogue random resistive memory arrays

Shaocong Wang et al.

Summary: In recent years, there has been a growing interest in learning representations of graph-structured data. However, the conventional digital hardware used for graph neural networks faces significant challenges such as slowdown due to transistor scaling limits and von Neumann bottleneck. In this study, a hardware-software co-design was proposed, using random resistive memory arrays to build an echo state graph neural network. This approach achieved state-of-the-art performance in graph classification and node classification tasks, with significantly improved energy efficiency and reduced training complexity.

NATURE MACHINE INTELLIGENCE (2023)

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Article Nanoscience & Nanotechnology

Artificial optoelectronic synaptic devices based on vertical organic field-effect transistors with low energy consumption

Dandan Hao et al.

Summary: Researchers have developed artificial optoelectronic synaptic devices based on vertical organic field-effect transistors. These devices can mimic typical biological synaptic performances and operate at low voltages, achieving ultra-low power consumption.

ADVANCED COMPOSITES AND HYBRID MATERIALS (2023)

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Article Nanoscience & Nanotechnology

N-doped bimetallic phosphides composite catalysts derived from metal-organic frameworks for electrocatalytic water splitting

Xiaohui Lin et al.

Summary: N-doped bimetallic phosphide catalysts derived from Ni/Co metal-organic frameworks exhibit exceptional catalytic activity for the oxygen evolution reaction. By optimizing the Ni/Co ratio, the N-Ni2Co3-P catalysts show excellent catalytic performance with low overpotential and high catalytic stability. This research not only provides a versatile method to produce high-efficiency sustainable electrocatalysts, but also offers promising opportunities for designing and developing multicomponent electrocatalysts.

ADVANCED COMPOSITES AND HYBRID MATERIALS (2023)

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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)

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Article Optics

Optical synaptic devices with ultra-low power consumption for neuromorphic computing

Chenguang Zhu et al.

Summary: In this study, a low-power BP/CdS heterostructure-based artificial photonic synapse is proposed, and a fully-connected optoelectronic neural network with high image recognition accuracy is simulated. This research provides a new concept for designing energy-efficient artificial photonic synapses and demonstrates their great potential in high-performance neuromorphic vision systems.

LIGHT-SCIENCE & APPLICATIONS (2022)

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Article Physics, Condensed Matter

Hybrid C8-BTBT/InGaAs nanowire heterojunction for artificial photosynaptic transistors

Yiling Nie et al.

Summary: A light-tunable synaptic transistor was constructed using C8-BTBT and InGaAs nanowires, allowing for behavior simulation and high classification accuracy in neural network construction.

JOURNAL OF SEMICONDUCTORS (2022)

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Article Nanoscience & Nanotechnology

Electrode Engineering in MoS2 MOSFET: Different Semiconductor/Metal Interfaces

Yang Li et al.

Summary: In 2D MoS2 MOSFET, better Ohmic contact can be achieved through different electrode engineering designs. Transferring MoS2 to Ag electrode is the optimal choice, resulting in the lowest contact resistance and Schottky barrier.

ADVANCED ELECTRONIC MATERIALS (2022)

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Editorial Material Engineering, Electrical & Electronic

Resistive memories stack up

Injune Yeo et al.

NATURE ELECTRONICS (2022)

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Article Chemistry, Multidisciplinary

Controlled Optoelectronic Response in van der Waals Heterostructures for In-Sensor Computing

Qiyu Yang et al.

Summary: This paper demonstrates a van der Waals (vdW) heterostructure-based optoelectronic transistor that can integrate photoreceptor, memory, and computation functions. It exploits diverse photoelectric control to achieve versatile photoresponse characteristics and can emulate short- and long-term synaptic plasticity and psychological human memory. This promising hardware system for visual information in-sensor computing offers potential solutions for complex computation tasks.

ADVANCED FUNCTIONAL MATERIALS (2022)

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Article Engineering, Electrical & Electronic

The Mechanism of Performance Variations in MoS2 Vertical Schottky Metal-Semiconductor Photodiode Based on Thermionic Emission Theory

Xisai Zhang et al.

Summary: This study reports a Schottky metal-semiconductor photodiode with a vertical structure and an ultrashort channel made of molybdenum disulfide (MoS2). The device exhibits excellent rectification and optical response characteristics due to the large Schottky barrier height. The vertical structure reduces the channel length to the atomic scale and efficiently collects excited carriers. The study also employs the thermionic emission theory to explain the impact of light intensity and voltage bias on the photodiode responsivity.

IEEE TRANSACTIONS ON ELECTRON DEVICES (2022)

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Review Chemistry, Multidisciplinary

Atomically Thin Hexagonal Boron Nitride and Its Heterostructures

Jia Zhang et al.

Summary: Atomically thin hexagonal boron nitride (h-BN) is a promising 2D material with unique properties for applications in optoelectronics and electronics. Chemical vapor deposition (CVD) is considered a promising method for producing large-scale, high-quality h-BN films and heterostructures. The epitaxial growth of 2D materials onto h-BN and building heterostructures can lead to novel properties.

ADVANCED MATERIALS (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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Article Multidisciplinary Sciences

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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Article Multidisciplinary Sciences

Large-area integration of two-dimensional materials and their heterostructures by wafer bonding

Arne Quellmalz et al.

Summary: The study presents a generic methodology for large-area integration of 2D materials through adhesive wafer bonding, utilizing equipment, processes, and materials readily available in large-scale semiconductor manufacturing lines. This approach is suitable for back end of the line integration of 2D materials on top of integrated circuits, with the potential to accelerate progress in electronics, photonics, and sensing. Existing integration approaches for 2D materials often degrade material properties and are not compatible with industrial processing, highlighting the need for new strategies like adhesive wafer bonding.

NATURE COMMUNICATIONS (2021)

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Article Multidisciplinary Sciences

Neural network based 3D tracking with a graphene transparent focal stack imaging system

Dehui Zhang et al.

Summary: In recent years, new approaches to optical imaging have rapidly evolved, with a focus on extracting three-dimensional information from traditionally two-dimensional image capture. The integration of transparent focal stack imaging systems using graphene photodetector arrays with advanced neural networks has enabled real-time 3D optical imaging and object tracking, showcasing promising new frontiers in imaging technology.

NATURE COMMUNICATIONS (2021)

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Article Chemistry, Physical

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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Review Materials Science, Multidisciplinary

Advanced tape-exfoliated method for preparing large-area 2D monolayers: a review

Xisai Zhang et al.

Summary: The tape exfoliation method remains the easiest way to obtain large-area 2D monolayers in experimental research. Recent advances include modified Scotch tape exfoliation method, metal-assisted tape exfoliation method, and gel-assisted tape exfoliation method. This review highlights the operation process and mechanism of each method, addressing challenges and providing insights into future developments.

2D MATERIALS (2021)

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Article Multidisciplinary Sciences

Interface-engineered electron and hole tunneling

Rui Guo et al.

Summary: Although tunneling has been a known phenomenon in quantum mechanics, the deterministic control of electron and hole tunneling in tunnel junctions has provided new insights. Through interface engineering, electron and hole tunneling regimes can be controlled, offering new possibilities for the design functionality of electronic devices.

SCIENCE ADVANCES (2021)

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Article Multidisciplinary Sciences

2D materials-based homogeneous transistor-memory architecture for neuromorphic hardware

Lei Tong et al.

Summary: In this study, a novel device architecture combining tungsten diselenide and lithium niobate is proposed for use as a nonlinear transistor and nonvolatile memory. Based on this homogeneous architecture, an integrated system for binary classification and ternary content-addressable memory design for neuromorphic hardware is also investigated.

SCIENCE (2021)

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Article Chemistry, Multidisciplinary

Direct Charge Trapping Multilevel Memory with Graphdiyne/MoS2 Van der Waals Heterostructure

Jialing Wen et al.

Summary: This study introduces a new memory design using 2D graphdiyne as the charge-trapping layer, achieving a bilayer memory GDY/MoS2 with a large memory window and high degree of modulation. It demonstrates data storage capability in different operating modes, showcasing the potential for high-performance dielectric-free electronics and applications such as optical memories and artificial synaptic.

ADVANCED SCIENCE (2021)

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Article Physics, Applied