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Article
Structure and Electrocatalytical Properties of Electrodeposited M-Ir (M = Co, Ni) Bimetallic Alloy Catalysts with Low Ir Loading Obtained on Copper Foams for Hydrogen Evolution Reaction
M-iridium (M = cobalt (Co), nickel (Ni)) bimetallic alloy catalysts with low iridium (Ir) loading of 0.3–2.0 mg·cm−2 were prepared on copper foam (CF) supports by electrodeposition. The top surface of as-deposite...
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Article
P-Doped Boosting the Activity of Ni-Mo Nanocatalysts for Efficient Alkaline Water Electrolysis of Hydrogen Evolution
Decarbonization of transportation sector is critical to achieve net-zero emissions economy by 2060. It is of importance to develop highly efficient electrocatalysts for decarbonization. Ni-Mo-P ternary alloy c...
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Article
Effect of TiC Content on Microstructure and Properties of CrMnFeCoNi High-Entropy Alloy
This article investigated the properties of CrMnFeCoNi + xwt.% TiC (x = 0,1,2,3,4) high-entropy alloy coatings which prepared on the surface of Q235 steel plate by plasma-transferred arc. X-ray diffractometer,...
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Article
Open AccessAssembly of short amphiphilic peptoids into nanohelices with controllable supramolecular chirality
A long-standing challenge in bioinspired materials is to design and synthesize synthetic materials that mimic the sophisticated structures and functions of natural biomaterials, such as helical protein assembl...
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Article
Design and Fabrication of NiMn Layered Double Hydroxide/Reduced Graphene Oxide as Electrochemical Sensor for Simultaneous Detection of Ascorbic Acid, Dopamine and Uric Acid
In this paper, NiMn layered double hydroxide (NiMn LDH) was quickly synthesized by coprecipitation method. Then NiMn LDH nanosheets and graphene oxide (GO) nanosheets were obtained by ultrasonic exfoliation te...
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Article
Extraction method of dispensing track for components based on transfer learning and Mask-RCNN
In the process of dispensing, the traditional dispensing robot generally obtains the component pad profile according to the Mark point assisted positioning, and directly uses the profile as the dispensing prof...
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Chapter and Conference Paper
A Sparse Canonical Correlation Analysis Method for Fault Detection in GNSS/INS Integrated Navigation System
This paper presents an on-line canonical correlation analysis (CCA)-based framework for soft fault detection in global navigation satellite system (GNSS) and inertial navigation system (INS) integrated navigat...
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Article
Synthesis of a novel nanocomposite of CoTMPyP/Ti3C2 (MXenes) for catechol detection
A novel electrochemical sensor based on titanium carbide (Ti3C2) and cobalt porphyrin (CoTMPyP) nanocomposite was developed to detect catechol (CC). X-ray diffraction (XRD), transmission electron microscopy (TEM)...
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Article
Open AccessMiniature integrated spectrometers towards high-performance and cost-effective
The conjugated mode of bound states in a continuum is integrated as a narrowband wavelength extraction unit. A low-cost and easy-to-prepare strategy, using solution-processable semiconductors, has been demonst...
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Article
Preparation and Performance of Ni-Al and 3Cr13 Coatings on Carbon Steel by Arc Spraying for Boiler Heat Exchanger Pipelines: A Comparative Study
This study compares nickel-aluminum (Ni-Al) and 3Cr13 steel coatings deposited on carbon steel substrates by arc spraying. The objective is to select a coating that will improve the corrosion and abrasion wear...
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Chapter and Conference Paper
Robust Multi-sensor Fusion via Factor Graph and Variational Bayesian Inference
In the research, we present a novel nonlinear state estimation method to solve the problems of multi-sensor fusion application in navigation systems. In a full Bayesian framework, the muti-sensor fusion is per...
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Article
Effect of polycarbodiimide on the structure and mechanical properties of PLA/PBAT blends
In this paper, the effects of two epoxy chain extenders and polycarbodiimide on the mechanical properties, crystallization behavior, morphology and thermal stability of poly(L-lactic acid) (PLLA)/poly(butylene...
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Article
Effective ensemble learning approach for SST field prediction using attention-based PredRNN
Accurate prediction of sea surface temperature (SST) is extremely important for forecasting oceanic environmental events and for ocean studies. However, the existing SST prediction methods do not consider the ...
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Article
A facile approach to synthesis methylene blue/reduced graphene oxide nanocomposite and simultaneous determination of dopamine and uric acid
A novel and highly selective electrochemical sensing platform based on combination of methylene blue (MB) and graphene oxide (GO) was performed for simultaneous detection of dopamine (DA) and uric acid (UA). T...
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Article
Open AccessHighly stable and tunable peptoid/hemin enzymatic mimetics with natural peroxidase-like activities
Develo** tunable and stable peroxidase mimetics with high catalytic efficiency provides a promising opportunity to improve and expand enzymatic catalysis in lignin depolymerization. A class of peptoid-based ...
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Article
Open AccessLow-carbon economic dispatch considering integrated demand response and multistep carbon trading for multi-energy microgrid
With the rapid development of distributed energy resources and natural gas power generation, multi-energy microgrid (MEMG) is considered as a critical technology to increase the penetration of renewable energy...
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Article
Effect of different contents of WC on microstructure and properties of CrMnFeCoNi high-entropy alloy-deposited layers prepared by PTA
This work focuses on the effect of different mass ratios of WC (5 wt%, 10 wt%, 15 wt%, 20 wt%) on the structure and properties of the CrMnFeCoNi high-entropy alloy-deposited layer prepared by PTA. The SEM, XRD...
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Article
Impact of EV load uncertainty on optimal planning for electric vehicle charging station
With the development of electric vehicle (EV), there is a huge demand for electric vehicle charging station (EVCS). The utilization of renewable energy sources (RES) in EVCS can not only decrease the energy fl...
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Chapter
A Short-Term Wind Power Forecasting Method Based on Hybrid-Kernel Least-Squares Support Vector Machine
Wind power forecasting improves the wind power trade and the wind power dispatch level. Wind speed is closely related to the accuracy of wind energy forecasting. This chapter introduces the process of wind pow...
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Chapter and Conference Paper
Searching Effective Transformer for Seq2Seq Keyphrase Generation
Keyphrase Generation (KG) aims to generate a set of keyphrases to represent the topic information of a given document, which is a worthy task of Natural Language Processing (NLP). Recently, the Transformer str...
