Zhuangzhuang Li

ORCID: 0009-0001-9747-1727
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About
Contact & Profiles
Research Areas
  • Glass properties and applications
  • Magnesium Alloys: Properties and Applications
  • Advanced Memory and Neural Computing
  • Magneto-Optical Properties and Applications
  • Phase-change materials and chalcogenides
  • Metallic Glasses and Amorphous Alloys
  • Advanced Neural Network Applications
  • Bone Tissue Engineering Materials
  • Layered Double Hydroxides Synthesis and Applications
  • Luminescence Properties of Advanced Materials
  • Advanced Combustion Engine Technologies
  • Vehicle emissions and performance
  • Aluminum Alloys Composites Properties
  • Wind and Air Flow Studies
  • Non-Destructive Testing Techniques
  • Nonlinear Optical Materials Studies
  • Industrial Vision Systems and Defect Detection
  • Magnetic Properties of Alloys
  • Asphalt Pavement Performance Evaluation
  • Text and Document Classification Technologies
  • Bauxite Residue and Utilization
  • Urban Heat Island Mitigation
  • Corrosion Behavior and Inhibition
  • Neuroscience and Neural Engineering
  • Bacillus and Francisella bacterial research

Xiyuan Hospital
2025

Chongqing University
2025

Northeast Normal University
2020-2024

Sichuan University
2022-2024

West China Hospital of Sichuan University
2022-2024

Shandong Normal University
2021-2024

Beijing University of Posts and Telecommunications
2024

China Mobile (China)
2023-2024

Nanjing University of Science and Technology
2024

Beijing Jiaotong University
2023

Urban areas have been focused recently on the remote sensing applications since their function closely relates to distribution of built-up areas, where reflectivity or scattering characteristics are same similar. Traditional pixel-based methods cannot discriminate types urban very well. This paper investigates a deep learning-based classification method for images, particularly high spatial resolution (HSRRS) images with various changes and multi-scene classes. Specifically, help develop...

10.1109/access.2019.2903127 article EN cc-by-nc-nd IEEE Access 2019-01-01

Abstract Optoelectronic memristor is generating growing research interest for high efficient computing and sensing-memory applications. In this work, an optoelectronic with Au/a-C:Te/Pt structure developed. Synaptic functions, i.e., excitatory post-synaptic current pair-pulse facilitation are successfully mimicked the under electrical optical stimulations. More importantly, device exhibited distinguishable response currents by adjusting 4-bit input electrical/optical signals. A multi-mode...

10.1088/1674-4926/24100008 article EN Journal of Semiconductors 2025-02-01

This study conducted a series of computational fluid dynamics simulations to evaluate the thermal comfort performance radiant floor cooling system when combined with different ventilation systems, including mixed (MV), stratum (SV), displacement (DV) and ductless personalized (DPV). A window temperature 32°C three temperatures 20, 22 24°C were set in summer. We used vertical air differences (VATD) at ankle head level, percentage dissatisfied, draught rate level equivalent as our main...

10.1177/1420326x19869412 article EN Indoor and Built Environment 2019-08-12

True random number generator (TRNG) that cannot be arbitrary attacked with predictable software algorithm is a promising data security solution. Memristors, possessing specific intrinsic stochasticity, are just appropriate to the sources for encryption applications. In this work, TRNG system based on stochastic duration time of double threshold-switching (TS) memristors proposed. The reliable stochasticity mainly attributed gradual dissolution Ag conductive channels and synergistic effect...

10.1063/5.0145875 article EN Applied Physics Letters 2023-05-09

The development of multimodal systems with fused sensing-and-memory (sen–memory) functionalities is drawing growing attention for artificial intelligence applications. However, conventional typically record the information based on a coinput sensory signal and electrical signal. Self-powered sen–memory system has potential to promote highly efficient neuromorphic applications remains be studied. Herein, we demonstrate fabrication pectin nanowire-based moisture generator film-based...

10.1109/led.2024.3400949 article EN IEEE Electron Device Letters 2024-05-14

This paper presents the establishment of an accurate loss model for high-power-density IGBT modules used in electric vehicles, leveraging thermal simulation capabilities power electronics software PLECS 4.1. The study aims to address significant influence losses on energy efficiency and reliability vehicles. A was built using SVPWM modulation strategy drive a three-phase inverter, average method employed determine both conduction switching losses. results were compared with calculations...

10.3390/en18040997 article EN cc-by Energies 2025-02-19

With the development of digitalization and Internet technology, enterprise information security is facing more challenges. Many enterprises have begun to adopt big data (BD) artificial intelligence (AI) technology for risk assessment (RA) prediction effectively manage risks. This article discusses application BD AI in management (ISM) RA from two aspects. Firstly, mobile payment signature scheme based on number theory research unit used improve system. uses lattice algorithms achieve fast...

10.4018/joeuc.326934 article EN Journal of Organizational and End User Computing 2023-07-28
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