A5100420699- Superconducting Materials and Applications
- Metal Forming Simulation Techniques
- Particle accelerators and beam dynamics
- Electromagnetic Launch and Propulsion Technology
- Metallurgy and Material Forming
- Magnetic confinement fusion research
- Physics of Superconductivity and Magnetism
- Gyrotron and Vacuum Electronics Research
- Advanced Surface Polishing Techniques
- Electric Motor Design and Analysis
- High-Velocity Impact and Material Behavior
- Particle Accelerators and Free-Electron Lasers
- Laser and Thermal Forming Techniques
- Magnetic Properties and Applications
- Magnetic and transport properties of perovskites and related materials
- Microstructure and mechanical properties
- Analog and Mixed-Signal Circuit Design
- Microfluidic and Bio-sensing Technologies
- Electromagnetic Effects on Materials
- Characterization and Applications of Magnetic Nanoparticles
- Microwave Engineering and Waveguides
- Magnetic Bearings and Levitation Dynamics
- Magnetic Properties of Alloys
- Advanced Welding Techniques Analysis
- Micro and Nano Robotics
Huazhong University of Science and Technology
2016-2025
Wuhan National Laboratory for Optoelectronics
2016-2025
East China Jiaotong University
2025
State Key Laboratory of Advanced Electromagnetic Engineering and Technology
2014-2024
Dalian University of Technology
2010-2024
High Magnetic Field Laboratory
2010-2023
Laser Research Institute
2023
Harbin University of Science and Technology
2015-2022
Guizhou Normal University
2022
Guizhou University of Finance and Economics
2022
Magnetic manipulation is very promising for the motion control of micro- and nano-objects, which has wide applications in mixing, trapping, colloidal assembly object transport, recent progress these areas reviewed this work.
Canalized rivers are often the product of urbanization. They an important component urban blue-green infrastructure whose visual landscape quality affects aesthetics a city. Existing research on waterways pays little attention to canalized and lacks quantitative interpretation their quality. This study aims simulate human perception establish quantifiable features for riverside greenways. Using deep learning model build connections between aesthetic preference spaces, we best predictive We...
The poor contractility of the detrusor muscle in underactive bladders (UABs) fails to increase pressure inside UAB, leading strenuous and incomplete urination. However, existing therapeutic strategies by modulating/repairing muscles, e.g., neurostimulation regenerative medicine, still have low efficacy and/or adverse effects. Here, we present an implantable magnetic soft robotic bladder (MRB) that can directly apply mechanical compression UAB assist Composed a biocompatible elastomer...
Magnetic soft robots (MSRs) have attracted growing interest due to their unique advantages in untethered actuation and excellent controllability. However, strategies of these long been designed out heuristics. Herein, it is aimed develop an intelligent method solve the inverse problem finding workable magnetic fields for strip‐like entirely based on deep reinforcement learning algorithms. torques a dissipation force Cosserat rod model are introduced, developed simulate dynamics MSRs...
Abstract To generate arbitrary shape magnetic field waveforms for advanced scientific research, a reconfigurable pulsed high facility (PHMFF) was developed at Wuhan National Pulsed High Magnetic Field Centre (WHMFC). First, the basic elements of PHMFF are introduced, and ternary physical model composed energy storage unit, magnet, transmission circuits other auxiliary units is summarised to describe various systems. Second, in order realise reconfiguration systems based on detailed elements,...
Abstract A finite element technique was employed for analysing the transport behaviour of magnetic nanoparticles (MNPs) under gradient field generated by rectangular permanent magnets with different configurations. To predict exact particle dynamic behaviour, governing non-linear differential equations, Navier–Stokes and convection–diffusion were coupled equation. The MNP concentration distribution calculated taken as an evaluation parameter to show where MNPs are preferentially captured in...
At present, the cylindrical coil is used to generate electromagnetic force in tube expansion process. The obtained radial end of less than one middle for effects. Hence, deformation inhomogeneous axial direction. This paper presents a method named with concave obtain more homogeneous deformation. By using COMSOL software, it gives simulations effect geometry parameters on distribution and behavior given AA6063-T6 tube. Simulations show that suitable can Furthermore, range by 36 mm, which better coil.
In the conventional electromagnetic tube expansion, end effects generated by helix coil may lead to inhomogeneous deformation in axial direction. This paper is aimed at overcoming this issue proposing a new concave structure replace currently used industry practice generate radial force on tube. The proposed expected reinforce distribution profile and, hence, improving of context, R-L criterion uniformity first proposed. Second, an electromagnetic-structural coupling finite element model...
Abstract Charge and energy transfers among Mn 2+ ions determine the excited‐state dynamics in ‐based phosphors, which modulate luminescence properties various applications. However, crystals with dense ions, is often quenched by antiferromagnetic interactions between adjacent or electron‐phonon interactions, lead to transfer defect states. Here, modulation of photoluminescence Mn–Mn magnetic ordering a 2D layered hybrid perovskite (CH 3 NH ) 2 MnCl 4 reported. Specifically, spin flopping...
Abstract No-insulation (NI) REBCO ((RE)Ba2Cu3Oy (RE = Rare Earth)) magnets show great potential in producing ultra-high magnetic field due to their excellent self-protection behaviors, high current density, and compact structure. However, the complexity of fabrication process, along with intrinsic screening induced coated layer, poses challenges for large-scale applications. The not only generates an unwanted irregular overstress, but also leads a non-uniform distribution within winding,...
Abstract The stability of the power system and fault detection classification are essential components in achieving intelligence systems. LSTM (Long Short-Term Memory) recurrent neural networks can effectively handle temporal nonlinear nature load data, making them suitable for short-term classification. A method based on is proposed. results demonstrate accuracy convenience model.
The advancement of flexible wearable humidity sensors presents significant potential for smart healthcare and monitoring training/learning states. These devices enable real-time detection ambient respiratory conditions, aiding in the prevention diseases improving accuracy vocal phonation training. In this study, we present a high-performance sensor using an Ag/PEDOT composite as humidity-sensitive material. film's morphology elemental composition were analyzed via SEM, HRTEM, mapping, while...