A5101472343- Advancements in Battery Materials
- Supercapacitor Materials and Fabrication
- Non-Destructive Testing Techniques
- Astronomy and Astrophysical Research
- Domain Adaptation and Few-Shot Learning
- Machine Learning and ELM
- Galaxies: Formation, Evolution, Phenomena
- Industrial Vision Systems and Defect Detection
- Dark Matter and Cosmic Phenomena
- Adaptive optics and wavefront sensing
- Face and Expression Recognition
- Astrophysics and Cosmic Phenomena
- Gamma-ray bursts and supernovae
- Electrocatalysts for Energy Conversion
- Machine Learning and Data Classification
- Advanced battery technologies research
- Magnetic Properties and Applications
- Spectroscopy and Laser Applications
- Reinforcement Learning in Robotics
- MXene and MAX Phase Materials
- Image and Signal Denoising Methods
- Advanced Image Processing Techniques
- Advanced Nanomaterials in Catalysis
- Thermal Radiation and Cooling Technologies
- Covalent Organic Framework Applications
Ningbo University
2019-2024
Wuhan University of Technology
2024
Wuhan Ship Development & Design Institute
2024
Guangdong University of Technology
2022-2023
Xiamen University
2020-2023
Henan University of Science and Technology
2021-2023
Qinghai University
2023
Shenyang University of Technology
2023
University of Electronic Science and Technology of China
2023
Beijing Normal University
2022
Binary transition metal sulfides are considered to be a promising material for supercapacitors, possessing richer electrochemically active sites and superior electrochemical performance. Metal-organic frameworks (MOFs) often used as self-sacrificing templates in the preparation of sulfides. Usually, direct sulfidation MOFs tends cause collapse morphological structure blockage ion transport channels, so that morphology original MOF template can well preserved by using pyrolysis followed S2-...
Although transition metal phosphide anodes possess high theoretical capacities, their inferior electronic conductivities and drastic volume variations during cycling lead to poor rate capability rapid capacity fading. To simultaneously overcome these issues, we report a hierarchical heterostructure consisting of isolated Mn2P nanoparticles embedded into nitrogen- phosphorus-codoped porous carbon nanosheets (denoted as Mn2P@NPC) viable anode for lithium-ion batteries (LIBs). The resulting...
We report the follow-up spectroscopic confirmation of two lensed quasars, six dual and eleven projected quasars that were previously identified as lensed-quasar candidates in \cite{He2023}. The data obtained from different sources: P200/DBSP California publicly available datasets, including SDSS DESI-EDR. (both pairs) have following properties: $\theta_E$ = 1.208'', $z_s$ 3.105; 0.749, 2.395. redshifts ranging 0.58 to 3.28 separations 15.44 22.54 kpc, with a mean separation 17.95 kpc. 10.96...
We report the results of a follow-up spectroscopic confirmation two lensed quasars, six dual and eleven projected quasars that had previously been identified as lensed-quasar candidates in our earlier work. The data were obtained from different sources: Palomar 200-inch Double Spectrograph (P200/DBSP) California publicly available datasets, including SDSS DESI-EDR. (both pairs) have following properties: theta_E = 1arcsec.208, z_s 3.105; 0arcsec.749, 2.395. redshifts ranging 0.58 to 3.28...
MOF/inorganic nanocomposites combine the advantages of each component. Herein, two MOF/metal selenite nanocomposites, Co-NH2-BDC/CoSeO3·H2O and Co-BDC/CoSeO3·H2O, are prepared on nickel foam through a facile two-step hydrothermal method, which inherit 2D morphology porosity properties their MOF precursors. Furthermore, during electrochemical activation process, crystallized can easily transform into amorphous structures in short time 20 min presence an electric field, similar to CoSeO3·H2O....
Introducing nonvolatile liquid acids into porous solids is a promising solution to construct anhydrous proton-conducting electrolytes, but due weak coordination or covalent bonds building these solids, they often suffer from structural instability in acidic environments. Herein, we report series of steady conjugated microporous polymers (CMPs) linked by robust alkynyl and functionalized with perfluoroalkyl groups incorporate them phosphoric acid. The resulting composite electrolyte exhibits...
Defective hard candies are usually produced due to inadequate feeding or insufficient cooling during the candy production process. The human-based inspection strategy needs be brought up date with rapid developments in confectionery industry. In this paper, a detection and classification method for defective based on convolutional neural networks (CNNs) is proposed. First, threshold_li used distinguish between background. Second, segmentation algorithm concave point ellipse fitting split...
A bimetallic sulfoselenide–selenite heterojunction of (Ni,Co)(Se,S) 2 /(Ni,Co)SeO 3 was prepared from LDH-based templates as high-capacity battery-type materials for hybrid supercapacitors.
The dose of radiation a patient receives when undergoing dual-energy computed tomography (CT) is significant concern to the medical community, and balancing tradeoffs between level used quality CT images challenging. This paper proposes method synthesizing high-energy (HECT) from low-energy (LECT) using neural network that achieves an alternative HECT scanning by employing LECT scan, which greatly reduces receives.In training phase, proposed structure cyclically generates improve accuracy...
Abstract The BL Lac object PKS 0735+178 has shown some complex multiwavelength variation phenomena in previous studies, especially its color behavior. Bluer-when-brighter, redder-when-brighter, and achromatic behavior were all found to be possible long-term trends of 0735+178. In this work, we collected data on 0735+178, also performed a multicolor optical monitoring intraday timescales. Intraday variability was detected one night. On long timescales, 22 day time lag between the R γ -ray...
Abstract We observed BL Lac in the B , V R and I bands with an 85 cm telescope on nine nights from 2019 September 18 to December 6. More than 2300 data points were collected. All intraday light curves examined for variations by using most reliable power-enhanced F -test ANOVA test, variability was found five nights. Thanks our high precision temporal resolution data, two key discoveries made following analyses. (1) In addition strong bluer-when-brighter behavior nights, we a color reversal...
Magnetic flux leakage (MFL) testing is one of the most effective methods in nondestructive wire rope. However, traditional MFL devices have problems such as low recognition rate, single detection dimension and fuzzy magnetic image. Based on non-saturated excitation 3D device, this paper proposes a wavelet denoising method based empirical transform (EWT) to denoise collected signal. After noise reduction, Signal-to-Noise Ratio (SNR) Root Mean Squared Error (RMSE) three dimensions improved....
In the geomagnetic field environment, magnetic memory detection is easily affected by various factors, such as environment and material, detected signal weak accuracy low. this paper, a method for wire rope under excitation proposed dipole model established excitation. Theoretical analysis shows that imposing on can effectively suppress interfering improve sensitivity of system. Furthermore, platform has been built Finally, experiments are presented verify effectiveness in paper.
The star formation rate (SFR) is a crucial astrophysical tracer for understanding the and evolution of galaxies, determining interaction between interstellar medium properties formation. mainstream approach to study stellar content in galaxies relies on pure population synthesis models. However, these methods fail account contamination SFR caused by nebular gas radiation. Recent studies have indicated that neglecting radiation appears be non-negligible with intense star-forming activities at...
Gravitationally strongly lensed quasars (SL-QSO) offer invaluable insights into cosmological and astrophysical phenomena. With the data from ongoing next-generation surveys, thousands of SL-QSO systems can be discovered expectedly, leading to unprecedented opportunities. However, challenge lies in identifying enormous datasets with high recall purity an automated efficient manner. Hence, we developed a program based on Convolutional Neural Network (CNN) for finding large-scale surveys...