Gang Wang

ORCID: 0009-0005-9125-8983
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About
Contact & Profiles
Research Areas
  • Electrocatalysts for Energy Conversion
  • Robotics and Sensor-Based Localization
  • Advanced battery technologies research
  • Fuel Cells and Related Materials
  • Chalcogenide Semiconductor Thin Films
  • Supercapacitor Materials and Fabrication
  • Material Properties and Failure Mechanisms
  • Spaceflight effects on biology
  • Quantum Dots Synthesis And Properties
  • Structural Integrity and Reliability Analysis
  • 2D Materials and Applications
  • Technology and Security Systems
  • Hydrogen Storage and Materials
  • Advanced Image and Video Retrieval Techniques
  • Video Surveillance and Tracking Methods
  • Human Pose and Action Recognition
  • Non-Destructive Testing Techniques
  • Anomaly Detection Techniques and Applications
  • Phase-change materials and chalcogenides
  • Remote Sensing and LiDAR Applications
  • Advanced Neural Network Applications
  • 3D Surveying and Cultural Heritage
  • Semiconductor materials and interfaces
  • Ammonia Synthesis and Nitrogen Reduction

Northeastern University
2025

Jilin University
2024

Harbin Engineering University
2018-2023

Minzu University of China
2023

Xinyang Normal University
2023

Harbin University
2019

Urea electrolysis offers the prospect of cost-effective and energy-saving hydrogen production together with mitigating urea-rich wastewater pollution instead overall water splitting.

10.1039/c9ta00481e article EN Journal of Materials Chemistry A 2019-01-01

10.1016/j.eswa.2025.126606 article EN Expert Systems with Applications 2025-01-01

Abstract Sb 2 Se 3 solar cells deposited by rapid thermal evaporation (RTE) have drawn extensive attention owing to their compatibility with the commercial production line of CdTe and can be used fabricate high‐quality films high reproducibility. However, deposition pressure during RTE process has not been clearly explored, although it a significant effect on film quality. A novel two‐step strategy is proposed that finely regulates improve quality absorber layers, thereby improving device...

10.1002/smtd.202300728 article EN Small Methods 2023-10-08

In the daily monitoring and maintenance of electrical equipment, detection abnormal sound is a very important part, high accuracy efficiency to distinguish state equipment more conducive troubleshooting equipment. At present, research algorithms for identifying working status operation based on machine learning deep has been widely used, but many are mainly frequency domain sequence modeling, ignoring information time sequence. Since time-domain in sounds difficult capture compared with...

10.1109/ddcls58216.2023.10166451 article EN 2022 IEEE 11th Data Driven Control and Learning Systems Conference (DDCLS) 2023-05-12

Nonvolatile optical manipulation of material properties on demand is a highly sought-after feature in the advancement future optoelectronic applications. While discovery such metastable transition various materials holds good promise for achieving this goal, their practical implementation still nascent stage. Here, we unravel nature ultrafast laser-induced hidden state 1T-TaS2 by systematically characterizing electronic structure evolution throughout reversible cycle. We identify it as...

10.48550/arxiv.2405.02831 preprint EN arXiv (Cornell University) 2024-05-05

Loop closure detection is a key technology for robotic navigation. Existing research primarily focuses on feature extraction from global scenes but often neglects local overhead occlusion scenes. In these scenes, objects such as vehicles, trees, and buildings vary in height, creating complex multi-layered structure with vertical occlusions. Current methods predominantly employ single-level strategy to construct descriptors, which fails capture the characteristics of occluded objects. This...

10.1007/s40747-024-01581-2 article EN cc-by-nc-nd Complex & Intelligent Systems 2024-08-05
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