A5101725389- Electromagnetic wave absorption materials
- Advanced Antenna and Metasurface Technologies
- Advanced Optimization Algorithms Research
- Metaheuristic Optimization Algorithms Research
- Drilling and Well Engineering
- Wind Energy Research and Development
- Wave and Wind Energy Systems
- Quantum Mechanics and Non-Hermitian Physics
- Cold Atom Physics and Bose-Einstein Condensates
- Distributed and Parallel Computing Systems
- Concrete and Cement Materials Research
- Advanced Multi-Objective Optimization Algorithms
- Domain Adaptation and Few-Shot Learning
- Thermochemical Biomass Conversion Processes
- Coastal and Marine Dynamics
- Advanced Sensor and Energy Harvesting Materials
- Oil and Gas Production Techniques
- Metamaterials and Metasurfaces Applications
- MXene and MAX Phase Materials
- Geotechnical Engineering and Underground Structures
- Topological Materials and Phenomena
- Geotechnical Engineering and Analysis
- Topology Optimization in Engineering
- Optimization and Variational Analysis
- Advancements in Semiconductor Devices and Circuit Design
University of Toyama
2022-2025
Nanjing Medical University
2025
Shijiazhuang Tiedao University
2024
Hunan University
2022-2024
Fujian Normal University
2024
University of Science and Technology of China
2019-2024
Jiangnan University
2022-2024
University of Science and Technology Beijing
2024
Tianjin University
2024
Zhejiang University
2019-2023
A chitosan-based carbon aerogel achieved a hierarchical porous structure through pore modulation assisted by mantis shrimp shells as biological template, reaching high energy density of 82.5 W h kg −1 supercapacitor electrode material.
Abstract Metalens with nanostructured optical elements are designed to control wavefront shaping at the wavelength‐scale thickness. However, most metalens still suffer from large chromatic aberrations due phase dispersion, limiting their wide applications for multiple wavelengths. Here, avoiding complex resonant designs or multiple‐layer nanostructures, a simple broadband achromatic by holographic diffraction in visible spectrum is demonstrated. The hyperbolic distributions of discrete...
Current transformer (CT) saturation can cause the maloperation of differential protection under external faults. To avoid this problem, a method based on histogram normalized rotated current (NRC) is proposed. NRC obtained by symmetric waveform transformation part current. An index defined to evaluate frequency distribution. The faults with different degrees CT saturation, internal faults, and transferring be clearly distinguished proposed method. Moreover, detection time invariably less...
Abstract In the construction stage, due to errors and longitudinal differential settlement during tunnel operation, amount of dislocation opening at segment joint increases, increasing likelihood water leakage. Therefore, it is necessary conduct an in-depth study on influence joints contact stress section. Firstly, through theoretical analysis, this paper deduces that waterproof performance gasket depends not only its own area, linear compression stiffness, Poisson’s ratio but also height...
As more and college classrooms utilize online platforms to facilitate teaching learning activities, analyzing student behaviors becomes increasingly important for instructors effectively monitor manage progress performance. In this paper, we present CCVis, a visual analytics tool the course clickstream data exploring behaviors. Targeting large introductory with over two thousand enrollments, our goal is investigate behavior patterns discover possible relationships between their We employ...
This paper presents a neural network based method Multi-Task Affect Net(MTANet) submitted to the Affective Behavior Analysis in-the-Wild Challenge in FG2020. is multi-task and on SE-ResNet modules. By utilizing learning, this can estimate recognize three quantified affective models: valence arousal, action units, seven basic emotions simultaneously. MTANet achieve Concordance Correlation Coefficient(CCC) rates of 0.28 0.34 for F1-score 0.427 0.32 AUs detection categorical emotion classification.