A5047243838- Magnetic properties of thin films
- Magnetic Properties and Applications
- Metallic Glasses and Amorphous Alloys
- Ferroelectric and Piezoelectric Materials
- Multiferroics and related materials
- Gear and Bearing Dynamics Analysis
- Machine Fault Diagnosis Techniques
- Organic Electronics and Photovoltaics
- Electrocatalysts for Energy Conversion
- Quantum and electron transport phenomena
- Piezoelectric Actuators and Control
- Advanced battery technologies research
- Fault Detection and Control Systems
- Perovskite Materials and Applications
- Characterization and Applications of Magnetic Nanoparticles
- Adaptive Control of Nonlinear Systems
- Organic Light-Emitting Diodes Research
- Control and Stability of Dynamical Systems
- Chalcogenide Semiconductor Thin Films
- Copper Interconnects and Reliability
- Advanced Sensor and Energy Harvesting Materials
- Magnetic and transport properties of perovskites and related materials
- Molecular Communication and Nanonetworks
- Microfluidic and Bio-sensing Technologies
- AI and Big Data Applications
Guangdong University of Petrochemical Technology
2022-2025
Jilin Normal University
2010-2023
Tianjin University
2023
Shanghai University
2015-2023
University of Hong Kong
2018
Kunming University
2017
UNSW Sydney
2011-2013
Harbin University
2003
Southeast University
2002
Electrical discharge machining (EDM) is a non-traditional process, which can cut materials with high melting point, hardness, strength, and low brittleness. However, the kerosene (dielectric of EDM) produces aerosols toxic gases at temperatures, seriously affect health operators air quality. This means that it not conducive to green manufacturing sustainable development EDM. In this study, thereafter, sunflower seed oil (SSO) were used as dielectrics EDM for machine SKD11, performance two...
In the context of continuous technological progress, application information technology in field education has gradually opened door to innovation. The integration and curriculum is use present a new way teaching process. Therefore, compared with traditional mode, more flexible can show boring classroom vividly graphically front students, thus motivating students learn actively improving efficiency. recent years, development computer technology, rise such as data analysis Internet Things...
Abstract Motivated by the fast-developing spin dynamics in ferromagnetic/piezoelectric structures, this study attempts to manipulate magnons (spin-wave excitations) converse magnetoelectric (ME) coupling. Herein, electric field ( E -field) tuning magnetism, especially surface wave, is accomplished Ni/0.7Pb(Mg 1/3 Nb 2/3 )O 3 -0.3PbTiO (PMN-PT) multiferroic heterostructures. The Kerr signal (directly proportional magnetization) changes of Ni film are observed when direct current (DC) or...
Abstract To address the problems of low diagnostic accuracy and slow speed convolutional neural network (CNN) fault diagnosis method in rolling bearing diagnosis, a new based on fast Fourier transform (FFT) image coding lightweight-CNN (L-CNN) is proposed. The mainly divided into three stages: firstly, original signal reconstructed by noise reduction using joint complete ensemble empirical mode decomposition with adaptive noise, permutation entropy, wavelet threshold denoise; then, frequency...
To address the challenge of extracting fault features and accurately identifying bearing conditions under strong noisy environments, a rolling failure diagnostic technique is presented that utilizes parameter-optimized maximum second-order cyclostationary blind deconvolution (CYCBD) bidirectional long short-term memory (BiLSTM) networks. Initially, an adaptive golden jackal optimization (GJO) algorithm employed to refine important CYCBD parameters. Subsequently, signals are filtered denoised...
The bearing fault diagnosis of petrochemical rotating machinery faces the problems large data volume, weak feature signal strength and susceptibility to noise interference. To solve these problems, current research presents a combined ICEEMDAN-wavelet threshold joint reduction, mutual dimensionless metrics MPGA-SVM approach for diagnosis. Firstly, we propose an improved noise-reduction method Improved Complete Ensemble Empirical Mode Decomposition with Adaptive Noise (ICEEMDAN) wavelet...
Extensive efforts to enhance the oxygen evolution reaction (OER) catalytic performance of transition metal oxides mainly concentrate on extrinsic morphology tailoring, lattice doping, and electrode interface optimizing. Nevertheless, little room is left for improvement using these methods an obvious gap still exists compared precious catalysts. In this work, a novel "mixed-valent cobalt modulation" strategy presented electrocatalytic OER perovskite LaCoO3 (LCO) oxide. The valence realized by...
Modulation of the magnetic anisotropy by electric field in epitaxial Fe3O4/PMN–PT multiferroic heterostructure is studied, which shows that coercive Fe3O4 thin films can be decreased from 368 to 113 Oe applying an PMN–PT [011] direction. Meanwhile, most shift ferromagnetic resonance (FMR) Hr () reach up −483 external field. The giant 251 9681 obtained as sample rotated θ = 90° (H // 0° [100]) when was applied heterostructure.
The photoluminescence (PL) quenching of CuInS<sub>2</sub>/ZnS quantum dots (QDs) in blend films with FePt magnetic nanoparticles (MNs) was studied by steady-state and time-resolved PL spectroscopy.
Transition metal oxides have been widely employed as electrocatalysts in various electrochemical processes such oxygen evolution reaction (OER) owing to their designable adsorption/desorption ability of water intermediates by engineering electronic structures. However, the coexistence multiple chemical valences transition always hides realization functional active phase OER. In this study, we performed OER measurements on LaFeO3 (LFO) catalysts reveal complex relationships between 3d...