4.8 Article

Infrared-Sensitive Memory Based on Direct-Grown MoS2-Upconversion-Nanoparticle Heterostructure

Journal

ADVANCED MATERIALS
Volume 30, Issue 49, Pages -

Publisher

WILEY-V C H VERLAG GMBH
DOI: 10.1002/adma.201803563

Keywords

heterostructures; infrared light stimuli; MoS2; photonic memories; upconversion nanoparticles

Funding

  1. Natural Science Foundation of China [61601305, 61604097]
  2. Science and Technology Innovation Commission of Shenzhen [JCYJ20170818143618288, JCYJ20170302145229928, ZDSYS201707271554071, JCYJ20170302151653768]
  3. Shenzhen Peacock Technological Innovation Project [KQJSCX20170727100433270, KQJSCX20170327150812967]
  4. Guangdong Provincial Department of Science and Technology [2018B030306028, 2017TQ04X082, 2017A010103026]
  5. Department of Education of Guangdong Province [2015KQNCX141, 2016KTSCX120]
  6. China Postdoctoral Science Foundation [2018M630984]
  7. Natural Science Foundation of SZU

Ask authors/readers for more resources

Photonic memories as an emerging optoelectronic technology have attracted tremendous attention in the past few years due to their great potential to overcome the von Neumann bottleneck and to improve the performance of serial computers. Nowadays, the decryption technology for visible light is mature in photonic memories. Nevertheless, near-infrared (NIR) photonic memristors are less progressed. Herein, an NIR photonic memristor based on MoS2-NaYF4:Yb3+, Er3+ upconversion nanoparticles (UCNPs) nanocomposites is designed. Under excitation by 980 nm NIR light, the UCNPs show emissions well overlapping with the absorption band of the MoS2 nanosheets. The heterostructure between the MoS2 and the UCNPs acting as excitons generation/separation centers remarkably improves the NIR-light-controlled memristor performance. Furthermore, in situ conductive atomic force microscopy is employed to elucidate the photo-modulated memristor mechanism. This work provides novel opportunities for NIR photonic memory that holds promise in future multifunctional robotics and electronic eyes.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.8
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

Review Chemistry, Multidisciplinary

Three-Terminal Artificial Olfactory Sensors based on Emerging Materials: Mechanism and Application

Guangxiong Duan, Shenming Huang, Zihao Feng, Peng Xie, Fan Zhang, Ye Zhou, Su-Ting Han

Summary: In recent years, a variety of hardware-based artificial sensory systems have attracted significant research interest in advanced artificial intelligence systems. This review focuses on the development of field-effect transistor (FET)-based gas sensory devices, discussing their mechanisms, gas recognition materials, strategies for improving sensing performance, and integration into artificial olfactory systems. The potential of FET-based sensory devices for next-generation intelligent sensory systems in fields such as environmental monitoring, health care, and military industries is also discussed.

ADVANCED FUNCTIONAL MATERIALS (2023)

Review Chemistry, Multidisciplinary

Emerging 2D Metal Oxides: From Synthesis to Device Integration

Kui Zhou, Gang Shang, Hsiao-Hsuan Hsu, Su-Ting Han, Vellaisamy A. L. Roy, Ye Zhou

Summary: This review provides an overview of recent advances in the synthesis of 2D metal oxides and their electronic applications. It discusses the tunable physical properties of 2D metal oxides related to structure, crystallinity, defects, and thickness. It also introduces advanced synthesis methods and various roles of 2D metal oxides in applications such as transistors, photodetectors, and solar cells.

ADVANCED MATERIALS (2023)

Article Nanoscience & Nanotechnology

Near-Infrared Long Afterglow in Fe3+-Activated Mg2SnO4 for Self- Sustainable Night Vision

Minzhong Li, Yahong Jin, Lifang Yuan, Bo Wang, Haoyi Wu, Yihua Hu, Feng Wang

Summary: The advent of near-infrared (NIR) afterglow in Cr3+-doped materials has generated significant interest for technological applications. However, the development of Cr3+-free NIR afterglow phosphors with high efficiency, low cost, and precise spectral tunability remains a challenge. In this study, a Fe3+-activated NIR long afterglow phosphor composed of Mg2SnO4 (MSO) is reported, which exhibits a high-efficiency NIR afterglow with a record persistent time lasting over 31 hours among Fe3+-based phosphors.

ACS APPLIED MATERIALS & INTERFACES (2023)

Article Chemistry, Multidisciplinary

Intelligent Colorimetric Indicators for Quality Monitoring and Multilevel Anticounterfeiting with Kinetics-Tunable Fluorescence

Guodong Zhao, Yao Kou, Nan Song, Xiaohe Wei, Xiaoyong Zhai, Pengfei Feng, Feng Wang, Chun-Hua Yan, Yu Tang

Summary: The spoilage and forgery of perishable products such as food, drugs, and vaccines cause serious health hazards and economic loss every year. Developing highly efficient and convenient time-temperature indicators (TTIs) to realize quality monitoring and anticounterfeiting simultaneously is urgent but remains a challenge. In this work, a colorimetric fluorescent TTI based on CsPbBr3@SiO2 nanoparticles with tunable quenching kinetics is developed. The TTIs show an irreversible dynamic change in fluorescent colors from green to red upon increasing temperature and time, and a locking encryption system with multiple logics is also realized by combining TTIs with different kinetics.

ACS NANO (2023)

Review Chemistry, Multidisciplinary

Biocompatible Material-Based Flexible Biosensors: From Materials Design to Wearable/Implantable Devices and Integrated Sensing Systems

Gang Liu, Ziyu Lv, Saima Batool, Ming-Zheng Li, Pengfei Zhao, Liangchao Guo, Yan Wang, Ye Zhou, Su-Ting Han

Summary: With the rapid growth of artificial intelligence, big data, the Internet of Things, and 5G/6G technologies, there is a growing need for humans to pursue life and manage personal or family health. The use of micro biosensing devices is crucial in bridging the gap between technology and personalized medicine.

SMALL (2023)

Article Chemistry, Physical

Visual growth of nano-HOFs for low-power memristive spiking neuromorphic system

Cheng Zhang, Yang Li, Fei Yu, Guan Wang, Kuaibing Wang, Chunlan Ma, Xinbo Yang, Ye Zhou, Qichun Zhang

Summary: 2D ribbon-structured hydrogen-bonded organic frameworks (Nano-HOFs) embedded with transition metal nanoparticles are used as reliable memristive materials to mimic synaptic behaviors. The HOFs@Au-based memristor shows gradient electrical conductances and stable synaptic functions, making it suitable for neuromorphic computing and intelligent cognition applications.

NANO ENERGY (2023)

Article Physics, Applied

Reconfigurable 2D-ferroelectric platform for neuromorphic computing

Yongbiao Zhai, Peng Xie, Jiahui Hu, Xue Chen, Zihao Feng, Ziyu Lv, Guanglong Ding, Kui Zhou, Ye Zhou, Su-Ting Han

Summary: To meet the requirements of data-intensive computing in the data-explosive era, researchers have extensively investigated brain-inspired neuromorphic computing for the past decade. However, challenges in integrating synaptic and neuronal devices in a single chip due to incompatible preparation processes have limited energy efficiency and scalability. Therefore, the development of a reconfigurable device with synaptic and neuronal functions in a single chip using the same materials and structures is highly desired. In this study, a reconfigurable hardware platform based on the polarization effect of 2D alpha-In2Se3 was designed, which can switch between emulating synapse and mimicking neuron. The application of this proof-of-concept device on a spiking neural network demonstrated its powerful learning ability and efficiency.

APPLIED PHYSICS REVIEWS (2023)

Article Chemistry, Physical

Covalent Organic Frameworks for Neuromorphic Devices

Kui Zhou, Ziqi Jia, Yao Zhou, Guanglong Ding, Xin-Qi Ma, Wenbiao Niu, Su-Ting Han, Jiyu Zhao, Ye Zhou

Summary: Neuromorphic computing has drawn extensive research interest in the development of novel neuromorphic memory devices, like memristors and bioinspired artificial synaptic devices, to overcome the limitations of conventional von Neumann architectures. Covalent organic frameworks (COFs), as crystalline porous polymers, offer customizable structures and pores for interactions with various entities such as photons, excitons, electrons, holes, ions, spins, and molecules, making them promising materials for neuromorphic electronics. This Perspective article focuses on the molecular design, thin-film processing, and neuromorphic applications of COF materials for neuromorphic memory devices, providing future directions and potential applications for COF-based neuromorphic electronics.

JOURNAL OF PHYSICAL CHEMISTRY LETTERS (2023)

Editorial Material Materials Science, Multidisciplinary

Foreword to the focus issue: materials and technologies for memristors and neuromorphic devices

Ye Zhou, Su-Ting Han

SCIENCE AND TECHNOLOGY OF ADVANCED MATERIALS (2023)

Article Chemistry, Physical

Porphyrin-Based Metal-Organic Frameworks for Neuromorphic Electronics

Guanglong Ding, Su-Ting Han, Chi-Ching Kuo, Vellaisamy A. L. Roy, Ye Zhou

Summary: Porphyrin-based metal-organic frameworks (PP-MOFs) have attracted increasing attention in the field of neuromorphic electronics due to their superior optoelectronic characteristics, the ability to form 2D layered structure, and customizability. However, the related application research is in the initial stage, demanding a timely summary and guidance. This article highlights the PP-MOFs fabrication shift, from powder synthesis to high-quality film preparation, and introduces the advances and challenges in neuromorphic electronics, aiming to attract experts from various areas and promote the application of PP-MOFs.

SMALL STRUCTURES (2023)

Article Chemistry, Multidisciplinary

An in-sensor humidity computing system for contactless human-computer interaction

Meng Qi, Runze Xu, Guanglong Ding, Kui Zhou, Shirui Zhu, Yanbing Leng, Tao Sun, Ye Zhou, Su-Ting Han

Summary: This study proposes a high-performance humidity-sensitive memristor based on a Ti/graphene oxide (GO)/HfOx/Pt structure and verifies its potential in remote health management and contactless human-machine interfaces. Utilizing the humidity-induced memristor, a noncontact human-machine interface and high-accuracy contactless handwriting recognition technology were developed, showing great application prospects.

MATERIALS HORIZONS (2023)

Article Chemistry, Multidisciplinary

Ni Single-Atoms Based Memristors with Ultrafast Speed and Ultralong Data Retention

Hua-Xin Li, Qing-Xiu Li, Fu-Zhi Li, Jia-Peng Liu, Guo-Dong Gong, Yu-Qi Zhang, Yan-Bing Leng, Tao Sun, Ye Zhou, Su-Ting Han

Summary: Memristor is a promising technology for future computing systems due to its low-power, high density, and scalability. However, there are still challenges to overcome, such as nonideal device characteristics. In this study, a high-performance memristor based on ITO/Ni single-atoms (NiSAs/N-C)/PVP/Au structure was developed, with improved switching speed and retention capability through the modulation of defect distribution and trapping level.

ADVANCED MATERIALS (2023)

Article Materials Science, Multidisciplinary

Nanowire-based synaptic devices for neuromorphic computing

Xue Chen, Bingkun Chen, Pengfei Zhao, Vellaisamy A. L. Roy, Su-Ting Han, Ye Zhou

Summary: Neuromorphic computing has gained a lot of attention due to its advantages of low power consumption, high speed, and high accuracy. Artificial synaptic devices that mimic biological synapses, particularly those based on nanowire technology, have shown potential for neuromorphic computing applications.

MATERIALS FUTURES (2023)

Review Chemistry, Multidisciplinary

Porous crystalline materials for memories and neuromorphic computing systems

Guanglong Ding, JiYu Zhao, Kui Zhou, Qi Zheng, Su-Ting Han, Xiaojun Peng, Ye Zhou

Summary: Porous crystalline materials have been widely studied and applied in memory and neuromorphic computing systems. The preparation of high-quality films is crucial for achieving high device performance.

CHEMICAL SOCIETY REVIEWS (2023)

Article Materials Science, Multidisciplinary

A broadband near-infrared nanoemitter mechanical action

Hao Suo, Yu Wang, Xin Zhang, Weilin Zheng, Yang Guo, Leipeng Li, Panlai Li, Yanmin Yang, Zhijun Wang, Feng Wang

Summary: The rapid development of NIR spectroscopic techniques has led to the discovery of novel luminescent materials as broadband NIR light sources. Conventional phosphors powered by electricity may aggravate the energy demands. In this study, Ga2O3:Cr3+ nanophosphors are reported to emit broadband NIR light under mechanical action through self recoverable mechanoluminescence (ML). The ML intensity and profile can be deliberately tuned through crystal-site engineering. Highly tunable light emission in the range of 650-1,100 nm is achieved by controlling the dopant concentration of In3+ and Yb3+ co-doping. These findings contribute to the library of sustainable NIR light sources and offer new possibilities for advanced sensing and spectroscopy studies.

MATTER (2023)

No Data Available