A5101659392- Ferroelectric and Negative Capacitance Devices
- Advanced Memory and Neural Computing
- Advancements in Battery Materials
- Nanomaterials and Printing Technologies
- CCD and CMOS Imaging Sensors
- Advanced Sensor and Energy Harvesting Materials
- Semiconductor materials and devices
- Advanced battery technologies research
- Particle Dynamics in Fluid Flows
- Neuroscience and Neural Engineering
- Machine Learning and ELM
- Optical Systems and Laser Technology
- Advanced Algorithms and Applications
- Supercapacitor Materials and Fabrication
- Electrohydrodynamics and Fluid Dynamics
- Embedded Systems and FPGA Design
- Neural dynamics and brain function
- Piezoelectric Actuators and Control
- Advanced Vision and Imaging
- Advanced Surface Polishing Techniques
- Industrial Automation and Control Systems
- Aerosol Filtration and Electrostatic Precipitation
- Advanced Data Storage Technologies
- Robotics and Sensor-Based Localization
- Nanomaterials for catalytic reactions
Harbin Institute of Technology
2023-2025
State Key Laboratory of ASIC and System
2019-2022
Shanghai Fudan Microelectronics (China)
2019-2022
Fudan University
2019-2022
Huazhong University of Science and Technology
2015
Technical University of Munich
2010
Institute of Automation
2010
Tongji University
2009
Aqueous zinc-ion batteries (ZIBs) are promising candidates to power flexible integrated functional systems because they safe and environmentally friendly. Among the numerous cathode materials proposed, Mn-based compounds, particularly MnO2, have attracted special attention of their high energy density, nontoxicity, low cost. However, reported so far characterized by sluggish Zn2+ storage kinetics moderate stabilities. Herein, a ZIB based on reduced graphene oxide (rGO)-coated MnSe...
Abstract Aerosol jet printing (AJP) is a cutting‐edge additive manufacturing technique, ideal for fabricating conformal electronics due to its extended working distance, simplicity, and environmental sustainability. However, achieving optimal resolution hindered by complex interactions between aerosol droplets substrates, as well the influence of various process parameters. This study focuses on precise AJP control enable high‐resolution fabrication. Through randomized single‐factor...
To meet the demand for higher performance and wearability, integrated circuits are developing towards having multilayered structures greater flexibility. However, traditional circuit fabrication methods using etching lamination processes not compatible with flexible substrates. As a non-contact printing method in additive manufacturing, electrohydrodynamic possesses advantages such as environmental friendliness, sub-micron capability interconnection insulation of different conductive layers...
In this paper, a novel switching controller is proposed for networked visual servo control system with varying feedback delay due to image processing and data transmission. The caused by the number of extracted features pose estimation different view angles, illumination conditions noise, modeled its occurrence probability. time transmission over communication network also as random process. By using sampled-data approach an input-delay approach, linearized reformulated into stochastic...
In recent years, the scaling down that Moore’s Law relies on has been gradually slowing down, and traditional von Neumann architecture limiting improvement of computing power. Thus, neuromorphic in-memory hardware proposed is becoming a promising alternative. However, there still long way to make it possible, one problems provide an efficient, reliable, achievable neural network for implementation. this paper, we two-layer fully connected spiking based binary MRAM (Magneto-resistive Random...
Mn chalcogenide cathodes hold great promise for high‐capacity applications in aqueous Zinc‐ion batteries (AZIBs). However, they face critical challenges, including dissolution and decomposition, which not only degrade performance but also raise environmental concerns. Although the incorporation of reduced graphene oxide (rGO) has shown potential mitigating these issues, underlying mechanisms remain unclear. Herein, we synthesize MnSe@rGO composites via a hydrothermal annealing process,...
Due to the system complexity (coordination among a large amount of optical sensors and actuators) huge signal processing demand in rice color sorter, distributed control solution based on CAN(Controller Area Network)-Bus is proposed, which interconnects many low level units. The principle implementation whole electronic sorter proposed discussed. experimental results show that developed has characteristics higher efficiency, reliability, maintainability, so on.
Physically Unclonable Functions (PUFs) are emerging security primitives for authentication due to its high physical security. Especially those with excellent area-efficiency and reliable immunity against attacks, the demand is larger. In order achieve higher area-efficiency, this paper proposes a strong PUF based on resistive random-access memory (RRAM). We exploit both switching randomness intrinsic resistance distribution of RRAM increase entropy source, design novel structure double-read...
Production lithography is undergoing a technology shift, and the requirements of beam delivery system (BDS) are increasing which also raises precision steering units (BSU) in BDS. In essence, BSU two rotational degree freedom platform. this paper, based on 3-RPS flexure parallel mechanism proposed. By analyzing relationship between unit's dimensions mechanics, mathematical model built. Then with balance lower stress hinges higher accuracy unit can be got by optimizing model. Finally...
This paper presents a hybrid computing-in-memory architecture for inference and training stages of two-layer deep neural network, with 96 Kb RRAM 4Kb 7T SRAM. Combining merits SRAM, the provides fast weight-updating training, while achieves 997x lower standby power consumption 1.35x higher area efficiency than SRAM-only scheme. A classification accuracy 91% is obtained resized MNIST task.
Accessing data and programs from off-chip memories cost lots of time energy. In order to reduce this consumption, an 8Kb 2T2MTJ STT-MRAM design is proposed serve as alternative on-chip memory store OS programs. An optimized SA suitable for low input-voltage, combined with the cell structure we used, could achieve high read speed well energy consumption. A time-adjustable write signal generator help choose point consumption in different application scenarios. This adopts 40-nm technology...
Resistive-switching Random Access Memory (RRAM) has emerged as a promising candidate for the artificial synaptic in neuromorphic computation circuits due to its similar electronic characteristics with and features such high integration density, non-volatile retention supporting matrix-vector multiplication. In this paper, digitalized RRAM-based fully-connected Spiking Neuron Network (SNN) system 3-bit weight unsupervised online learning scheme is proposed. It consists of 64 pre-neurons 10...
In recent years, the demand for high throughput signal processing is increasing very fast. Traditional von Neumann processors are unable to handle data efficiently because of well-known memory wall and power challenges. As an emerging technology, in-memory-computing has become a hot spot it can alleviate burden at same time, suitable performing efficient operations on signals. The existing work mainly targets artificial neural networks acceleration, with implementation low precision...
To overcome the memory wall problem, in-memory computing (IMC) is proposed to accelerate matrix multiplication. While existing IMC designs encounter problems in scenes where weight updates frequently because of long latency weight-update or short retention time. This paper proposes a semi-floating gate transistor (SFGT) based design improve matrix-multiplication with update weights. Simulation results shows that this achieves access time 5.32ns (1b IN/8b W) and energy efficiency...