- Electrocatalysts for Energy Conversion
- Terahertz technology and applications
- Photonic and Optical Devices
- Chalcogenide Semiconductor Thin Films
- Electrochemical Analysis and Applications
- Spectroscopy and Laser Applications
- Spectroscopy and Chemometric Analyses
- Advanced Chemical Sensor Technologies
- Spectroscopy Techniques in Biomedical and Chemical Research
- Catalytic Processes in Materials Science
- Fuel Cells and Related Materials
- Advanced battery technologies research
- Metallic Glasses and Amorphous Alloys
- Spectroscopy and Quantum Chemical Studies
- Supercapacitor Materials and Fabrication
- Anodic Oxide Films and Nanostructures
- Solid State Laser Technologies
- Carbon Nanotubes in Composites
- Optical Imaging and Spectroscopy Techniques
- Advancements in Battery Materials
- Sensorless Control of Electric Motors
- Photorefractive and Nonlinear Optics
- Electric Power Systems and Control
- Magnetic Properties of Alloys
- IoT-based Smart Home Systems
Chinese Academy of Sciences
1999-2024
Aerospace Information Research Institute
2022-2024
Guangdong University of Technology
2024
Liaocheng University
2017-2020
Wuhan National Laboratory for Optoelectronics
2016
Huazhong University of Science and Technology
2016
University of Alberta
2011-2015
University of Toronto
2014-2015
Anhui Institute of Optics and Fine Mechanics
2015
Institute of Engineering Thermophysics
2012
Abstract To overcome the low efficiency of overall water splitting, highly effective and stable catalysts are in urgent need, especially for anode oxygen evolution reaction (OER). In this case, nickel selenides appear as good candidates to catalyze OER other substitutable anodic reactions due their high electronic conductivity easily tunable structure meet optimized adsorption ability. Herein, an interesting phase transition from hexagonal NiSe (H‐NiSe) rhombohedral (R‐NiSe) induced by...
We use ultrafast phase-contrast imaging to directly observethe cone-like terahertz (THz) Cherenkov wave generated by optical rectification of femtosecond laser pulses focused into bulk lithium niobate (LiNbO₃) single crystals. The transverse geometry allows the angle, THz velocity, and pump pulse group velocity be measured. Furthermore, transition-like radiation at air-crystal boundary is observed. effect polarization on generation waves in LiNbO₃ also investigated.
The efficient catalysis of ethanol oxidation (EOR) is paramount importance for the progress energy conversion and storage technologies. We investigate improved catalytic performance commercial J-M Pt/C Pd/C catalysts by utilizing high potential scanning. By employing in situ Raman spectroscopy, we analyze reaction intermediates during electrochemical reactions. Our findings highlight that catalyst exhibits remarkable enhancements activity stability, which can be attributed to activation at...
Abstract The Electrochemical Ethanol Oxidation Reaction (EOR) plays a pivotal role in next‐generation energy conversion devices. A clear understanding of the EOR reaction mechanism is critical for rational catalyst design, task complicated by numerous intermediates and pathways involved. To this end, situ Raman spectroscopy has proven invaluable identifying many such at electrode/electrolyte interface under varying applied potentials. Therefore, technique allows inference based on detected...
Addressing the demand for versatile catalysts in regenerative fuel cells, this research delves into stability and active degradation mechanism of a synthesized Pd/CNT catalyst during ethanol oxidation, employing an situ Raman method. This innovative methodology unveils profound insights variations catalyst's behavior under different battery polarities. Notably, exhibits enhanced catalysis, maintaining notable efficiency up to 150 cycles following high-potential scanning. The investigation...
We verified that high-temperature (773 K) H <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sub> O vapor can be measured quantitatively with terahertz (THz) spectroscopy in the frequency range of 0.5-0.8 THz. The linear relationships between absorbance peak area and volume mixing ratio (VMR) at three absorption peaks (0.557 THz, 0.658 0.752 THz) match HITRAN-based simulations closely, which indicates HITRAN database used for practical...
Vertically-aligned millimeter-scale multiwall carbon nanotube arrays (CNTAs) grown by catalytic chemical vapour deposition were cut femtosecond laser pulses into thin free-standing sheets of aligned nanotubes. Terahertz (THz) time-domain spectroscopy was used to measure the polarization dependence transmittance CNTA from 0.5-2.2 THz. with thicknesses 40 μm and 150 showed high extinction ratios at 1 THz 25 dB dB, respectively. Furthermore, sheet for parallel nanotubes decreased increasing...
The study of the linear and nonlinear optical properties ZnGeP2 based on density functional theory has been carried out. In order to get a more physical picture in infrared region, terms which are considered as phonon effect were added calculated refractive dispersion curves. phonon-corrected calculation curves show excellent agreement with experimental indexes, gives better comprehension proprieties transparent region. static susceptibility was investigated using approaches sum over states...
Download This Paper Open PDF in Browser Add to My Library Share: Permalink Using these links will ensure access this page indefinitely Copy URL DOI
Pericarpium citri reticulatae (PCR, also called Chenpi) is an important medical and food resource in China. The medicinal value market price of Chenpi varies greatly among different origins years. Traditional sensory identification methods involve a great deal subjectivity, while chemical are cumbersome have low repeatability. In recent years, the classification method using electromagnetic spectrum combined with machine learning has become new means identifying PCR, but problems such as...
Traditional differential expression genes (DEGs) identification models have limitations in small sample size datasets because they require meeting distribution assumptions, otherwise resulting high false positive/negative rates due to variation. In contrast, tabular data model based on deep learning (DL) frameworks do not need consider the types and However, applying DL RNA-Seq is still a challenge lack of proper labeling compared number genes. Data augmentation (DA) extracts features using...