A5038001956- Advanced Memory and Neural Computing
- Ferroelectric and Negative Capacitance Devices
- Vehicle emissions and performance
- Neural Networks and Reservoir Computing
- CCD and CMOS Imaging Sensors
- Magnetic properties of thin films
- Metaheuristic Optimization Algorithms Research
- Transportation Planning and Optimization
- Semiconductor materials and devices
- Neuroscience and Neural Engineering
- Water-Energy-Food Nexus Studies
- Magnetic Field Sensors Techniques
- Optical and Acousto-Optic Technologies
- Remote Sensing and Land Use
- Photoreceptor and optogenetics research
- Energy Load and Power Forecasting
- Integrated Energy Systems Optimization
- Traffic Prediction and Management Techniques
- Machine Learning and ELM
- Disaster Management and Resilience
- Neural Networks and Applications
- Belt Conveyor Systems Engineering
- Climate change impacts on agriculture
- Electronic and Structural Properties of Oxides
- Water Systems and Optimization
National University of Defense Technology
2021-2024
Lanzhou City University
2019
Beihang University
2009-2016
Guangzhou Institute of Geochemistry
2011
Lanzhou Jiaotong University
2011
Abstract The human visual attention mechanism enables them to rapidly perceive important information and objects in a complex external scene; this effectively solves the problems of data redundancy, low‐resolution images, substantial computing resources. process by which system reconstructs can be considered as integrating internal signals with details postsynaptic neuron. However, electronic devices that simulate modulation incorporating device characteristics into neuromorphic vision...
The neuromorphic vision system (NVS) equipped with optoelectronic synapses integrates perception, storage, and processing is expected to address the issues of traditional machine vision. However, owing their lack stereo vision, existing NVSs focus on 2D image processing, which makes it difficult solve problems such as spatial cognition errors low-precision interpretation. Consequently, inspired by human visual system, an NVS developed achieve 3D object recognition, depending prepared ReS2...
This report presents Wan, a comprehensive and open suite of video foundation models designed to push the boundaries generation. Built upon mainstream diffusion transformer paradigm, Wan achieves significant advancements in generative capabilities through series innovations, including our novel VAE, scalable pre-training strategies, large-scale data curation, automated evaluation metrics. These contributions collectively enhance model's performance versatility. Specifically, is characterized...
Magnetic skyrmions are real-space topological spin textures, which have been frequently discussed in the context of information carriers for energy-efficient and high-integration spintronic memory computing, such as neuromorphic computing. Toward future applications design efficient reliable on-chip skyrmion synaptic devices is a crucial requirement, yet to be adequately addressed. Here, we propose an artificial device by integrating “Ω” shaped wire with nanodisk wire. By applying current...
The ventral visual pathway (VVP) of the human brain efficiently implements target recognition by employing a deep hierarchical structure to build complex concepts from simple features. Artificial neural networks (ANNs) based on spintronic devices are capable recognition, but their poor interpretability and limited network depth hinder ANNs mimicking VVP. Hardware implementation VVP requires biorealistic device as well corresponding interpretable structure, which have not been reported so...
Abstract Ferrimagnetic materials with antiparallel exchange coupling, exhibit spin‐orbit‐torque‐induced dynamics, offering an emerging platform for realizing neuromorphic devices, such as artificial synapses. However, the state‐of‐the‐art synapses based on ferrimagnet suffer from poor analog switching linearity, which serves a bottleneck achieving complex tasks high accuracy in computing. Here, synapse is reported high‐weight update linearity compensated ferrimagnetic crossbar device. In...
Resistive random-access memory (ReRAM)-based crossbar array (RCA) is a promising platform to accelerate vector-matrix multiplication in deep neural networks (DNNs). There are, however, some practical issues, especially device variation, that hinder the versatile development of ReRAM computing systems. The variations include device-to-device variation (DDV) and cycle-to-cycle (CCV) deviate devise resistance RCA from their target state. Such deviation seriously degrades inference accuracy...
In this paper, we propose a new 3-bit ADC based on magnetoelectric spin–orbit (MESO) device. By adjusting the thickness of part MESOs, possesses multiple switching thresholds for converting input voltages into magnetization state. means iterative HSPICE analysis and Monte Carlo analysis, quantitatively calculated power consumption evaluated reliability The results show that proposed could sample at an 8.3 GHz rate with 0.014 pJ conversion energy. comparison NAND-SPIN magnetic (MADC),...
Abstract We report a microwave artificial neuron based on magnetic tunnel junction spin torque nano-oscillator (STNO). Based STNO neurons, the three-layer full connected neural network (ANN) are constructed to recognize handwritten digit with produced accuracy of up 90.95%. To address noise inherent in real circuits leads poor recognition accuracy, we harness frequency mutation characteristics output near critical threshold current for denoising digits corrupted by noise. Before and after...
A Rashba spin-splitting state with spin-momentum locking enables the charge-spin interconversion known as effect, induced by interplay of inversion symmetry breaking (ISB) and spin-orbit coupling (SOC). Enhancing strength is promising to achieve high torque (SOT) efficiency for low-power-consumption spintronic devices. However, energy scale natural ISB at interface relatively small, leading weak effect. In this work, we report that orbital hybridization inducing additional asymmetry...
In this paper we develop an optimization model for investigating the community electricity system behavior and policy implications of usage different energy facilities under goal reducing cost. There are four sources in model: combined heat power (CHP), wind turbine, electrical grid storage. When considering dynamic demand requirements price, found that, to minimize total cost, storage discharges at high price time charge during low time. Also, can discharge when there is not enough peak....
In the context of low-carbon economy, through analysis development trend and environment this work puts forward innovational concept low carbon core competence China's railway transport enterprise. On basis summarizing rail energy consumption structure, proportion energy-saving efficiency, comparing with other modes detailed comprehensively in areas consumption, land occupation, dioxide emissions, external costs, etc, we concluded that is to establish develop a integrated system....
The factors that can influence the equipment optimization in filling construction of rock-fill dam are explained by analyzing system dams this paper, and an model for organization fill is established, which minimum unbalanced degree intensity taken as objective function with constraint. quantum discrete particle swarm used solution. Based on algorithm, hydraulic engineering management decision support developed using object-oriented methodology. applied to a practical project successfully...
Traditional CMOS-based von-Neumann computer architecture faces the issue of memory wall that limitation bus-bandwidth and speed mismatch between processor restrict efficiency data processing along with an irreducible energy consumption conducted by movement, especially in some data-intensive applications. Recently, novel in-memory computing (IMC) paradigms developed utilizing characteristics different non-volatile memories provide promising ways to overcome bottleneck wall. Here, we propose...
Abstract Memristor stateful logic based on a two-dimensional (2D) memristor crossbar array (MCBA) has been proved to be an effective approach break the von Neumann bottleneck. But three-dimensional (3D) which inherent high storage density is less investigated in computation field. In this work, we implemented whole linearly separable binary Boolean functions completely by using circuits configured multi-layer array. This circuit primitive can execute multi-gates parallelly inside layer or...
The paper analyzes the construction condition and influencing factors of concrete dam, then constructs a block election model, which uses object-oriented simulation methods to model dams. On foundation preliminary research, decision support system for dam based on is established decision-making.
Abstract Most of the urban water sources in Yunnan Plateau Basin, which are mainly reservoir type, located Karst mountainous area, with low eco-environmental capacity, high sensitivity and strong vulnerability. However, vulnerability assessment source area is basis scientific protection ecological restoration measures plateau basin. Based on study vulnerability, started from point view basin, combined concept connotation this paper constructs an evaluation index system that reflects In...
In this letter, a low-power and ultrafast spin neuron for mimicking biological neurons based on magneto-electric spin-orbit (MESO) is presented. First, the physical model of MESO Landau–Lifshitz–Gilbert (LLG) equation at room temperature built investigating characteristics. By utilizing these characteristics device, current pulse used to induce stochastic switching behaviors. We successfully mimic behavior with single activation time down 0.8 ns. Second, using model-derived device...
The look-up-table (LUT) is widely used in the field of programmable gate arrays (FPGA), which high efficiencies energy consumption, area, and speed are primarily concerned. In this paper, a new interconnected LUT structure constructed by core element magnetoelectric spin–orbit logic (MESO) device proposed. A SPICE model MESO-LUT circuit to achieve two-input function established writing, reading standby power consumptions investigated. Comparing with state-of-art designs based on torque...