A5034104383- Advanced Memory and Neural Computing
- Advanced Sensor and Energy Harvesting Materials
- Graphene research and applications
- Gas Sensing Nanomaterials and Sensors
- Ferroelectric and Negative Capacitance Devices
- Photonic and Optical Devices
- 2D Materials and Applications
- Advanced Fiber Optic Sensors
- Terahertz technology and applications
- Conducting polymers and applications
- Tactile and Sensory Interactions
- Semiconductor Lasers and Optical Devices
- Semiconductor Quantum Structures and Devices
- Neuroscience and Neural Engineering
- Metallurgy and Material Forming
- Transition Metal Oxide Nanomaterials
- Advanced Measurement and Metrology Techniques
- Gyrotron and Vacuum Electronics Research
- Microstructure and Mechanical Properties of Steels
- CCD and CMOS Imaging Sensors
- Semiconductor materials and devices
- Perovskite Materials and Applications
- Soil and Land Suitability Analysis
- Hydropower, Displacement, Environmental Impact
- Optical Wireless Communication Technologies
University of Jinan
2024
Qiqihar University
2024
Ruijin Hospital
2023
Tsinghua University
2010-2022
Institute of Microelectronics
2014-2020
Center for Information Technology
2019
Beijing Aerospace Flight Control Center
2017
Xi'an Jiaotong University
2012
Harbin University of Science and Technology
2009
Shanghai Institute of Optics and Fine Mechanics
1999-2005
Abstract Pressure sensors are a key component in electronic skin (e-skin) sensing systems. Most reported resistive pressure have high sensitivity at low pressures (<5 kPa) to enable ultra-sensitive detection. However, the drops significantly (>5 kPa), which is inadequate for practical applications. For example, actions like gentle touch and object manipulation below 10 kPa 10–100 kPa, respectively. Maintaining wide range great demand. Here, flexible, sensor with foam-like structure...
A mechanical sensor with graphene porous network (GPN) combined polydimethylsiloxane (PDMS) is demonstrated by the first time. Using nickel foam as template and chemically etching method, GPN can be created in PDMS-nickel coated graphene, which achieve both pressure strain sensing properties. Because of pores GPN, composite exhibit wide range highest sensitivity among foam-based sensors, respectively. In addition, it shows potential applications monitoring or even recognize walking states,...
Extremely low energy consumption neuromorphic computing is required to achieve massively parallel information processing on par with the human brain. To this goal, resistive memories based materials ionic transport and extremely operating current are required. allows for power operation by minimizing program, erase, read currents. However, currently used in memories, such as defective HfOx, AlOx, TaOx, etc., cannot suppress electronic (i.e., leakage current) while allowing good transport....
Due to its excellent flexibility, graphene has an important application prospect in epidermal electronic sensors. However, there are drawbacks current devices, such as sensitivity, range, lamination, and artistry. In this work, we have demonstrated a multilayer skin based on laser scribing graphene, whose patterns programmable. A process been developed remove the unreduced oxide. This method makes not only transferable butterflies, human bodies, any other objects inseparably elegantly,...
The synaptic activities in the nervous system is basis of memory and learning behaviors, concept biological synapse has also spurred development neuromorphic engineering. In recent years, hardware implementation been achieved based on CMOS circuits, resistive switching memory, field effect transistors with ionic dielectrics. However, artificial regulatable plasticity never realized device level. Here, an dynamic twisted bilayer graphene demonstrated tunable plasticity. Due to ambipolar...
Abstract Motion capture is attracting more and attention due to its potential wide applications in various fields. However, traditional methods for motion still have weakness such as high cost space consuming. Based on these considerations, a flexible, highly stretchable strain sensor with gauge factor fabricated carbon nanotube (CNT) array double helices the main building block. Ascribed unique flexible helical CNT-array matrix, able measure up 410%, low hysteresis. Moreover, demonstration...
There is a growing need for developing machine learning applications. However, implementation of the algorithm consumes huge number transistors or memory devices on-chip. Developing capability in single device has so far remained elusive. Here, we build Markov chain based on native oxide two dimensional multilayer tin selenide. After probing electrical transport vertical oxide/tin selenide/tin heterostructures, sudden current jumps are observed during set and reset processes. Furthermore,...
Recently, flexible and wearable mechanical sensors have attracted great attention because of their potential applications in monitoring various physiological signals. However, conventional rarely both pressure strain sensing abilities that can meet the demands subtle large human motion detection. Besides, with tunable sensitivity or measuring range are also essential for practical applications. Herein, graphene ink dip-coating method merits time saving, low cost, scale was used to fabricate...
Herein, a flexible near-infrared (NIR) light-actuated photoelectrochemical (PEC) lab-on-paper device was constructed toward miRNA-122 detection, utilizing the combination of DNA-programmed NaYF4/Yb,Tm upconversion nanoparticles (UCNPs) and Z-scheme AgI/WO3 heterojunction grown in situ on gold nanoparticle-decorated 3D cellulose fibers. The UCNPs were employed as light transducers for converting NIR into ultraviolet/visible (UV/vis) to excite nanojunction. multiple diffraction matched...
In recent years, flexible electronic devices have become a hot topic of scientific research. These are the basis circuits, batteries, displays and skins. Graphene-based materials very promising for devices, due to their high mobility, elasticity, tunable band gap, quantum transport mechanical strength. this article, we review progress fabrication process applications graphene-based including thermal acoustic rectifiers, nanogenerators, pressure sensors light-emitting diodes. summary,...
Abstract This paper summarizes water rights allocation principles based on the experience of international and domestic allocation, presents a model security, sustainability, fairness efficiency. Applying to Shiyang River Basin in Gansu Province, China, surface groundwater basin are defined allocated for current future years. A comparison between results from this study plans set out “Focus Restoration Plan Basin” demonstrates that levels patterns use is relatively straightforward, but...
In recent years, flexible light-emitting devices (LEDs) have become the main focus in field of display technology. Graphene, a two-dimensional layered material, has attracted great interest LEDs due to its excellent properties. However, there are many problems such as efficiency, lifetime, and flexibility not well solved. Herein, we successfully prepared LED using laser-induced reduced graphene oxide (LIRGO). The LIRGO achieves luminescence lifetime over 60 hours wall plug efficiency up 1.4%...
Conventional von Neumann architectures feature large power consumptions due to memory wall. Partial distributed architecture using synapses and neurons can reduce the power. However, there is still data bus between image sensor synapses/neurons, which indicates plenty room further lower consumptions. Here, a novel concept of all optical synapse has been proposed. An ultrasensitive artificial based on graphene/2D perovskite heterostructure shows very high photo-responsivity up 730 A/W...
In this letter, we demonstrate an integrated negative capacitance oxide thin-film transistor (NC-OTFT) based on ferroelectric Hf <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">0.5</sub> Zr O xmlns:xlink="http://www.w3.org/1999/xlink">2</sub> (HfZrO) film. The buried-gated TiN/HfZrO/Al xmlns:xlink="http://www.w3.org/1999/xlink">3</sub> structure is developed with indium zinc as its channel. transfer characteristics are measured 1.2-V supply...
Negative capacitance (NC) shows great potential to enable transistors with the steeper slope, which is very useful for voltage/power applications. Black phosphorus (BP) theoretically predicted as good channel materials NC-FETs. However, experimental demonstration of BP has so far remained elusive. Here, first time, NC based on have been demonstrated. By connecting a 20-nm HfZrO ferroelectric capacitor, both two types show lower subthreshold slope (SS). For 5-nm AlO <sub...
In this paper, bias modulated synapse transistor based on ultrathin molybdenum disulfide (MoS <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sub> ) was fabricated. By applying positive and negative pulses, the device can imitate excitation inhibition behaviors of natural synapse, respectively. The baseline change percentage postsynaptic current (PSC) be tuned by back-gate bias, enabling reconfiguration weight profile in machine learning. PSC...
Inspired by biological neural systems, neuromorphic devices may lead to new computing paradigms for exploring cognition, learning and limits of parallel computation. Synapses form the basis have attracted significant research interest in recent years. Herein, a three-terminal transistor based on transition metal sulfide zinc oxide heterojunction is proposed emulating synapses. The exhibits an ON/OFF ratio (104) rectifying behavior with forward-to-reverse bias current ratios 104. device...
Abstract Microstructures with flexible and stretchable properties display tremendous potential applications including integrated systems, wearable devices bio-sensor electronics. Hence, it is essential to develop an effective method for fabricating curvilinear flexural microstructures. Despite significant advances in 2D inorganic structures, large scale fabrication of unique 3D microstructures at a low cost remains challenging. Here, we demonstrate that the can be achieved by grayscale...
Short-Term Memory (STM) is a primary capability of the human brain. Humans use STM to remember small amount information, like someone's phone number, for short period time. Usually duration less than 1 minute. Synapses, connections between neurons, are vital importance memory in biological brains. For mimicking function synapses, Carbon Nanotube (CNT) networks based thinfilm transistors with Electric Double Layers (EDL) at dielectric/channel interface were researched this work. A response...