Crystalline carbon nitride(CCN)has emerged as a highly promising semiconductor photocatalyst with unique properties,such as enhanced charge migration rate,reduced carrier recombination probability,narrow band gap and ...
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Crystalline carbon nitride(CCN)has emerged as a highly promising semiconductor photocatalyst with unique properties,such as enhanced charge migration rate,reduced carrier recombination probability,narrow band gap and improved light-harvesting efficiency,which are suitable for a wide range of applications in solar-to-chemical conversion,energy storage,therapeutic and environmental pollution *** the past few years,there has been an increasing number of reviews on CCN ***,most of these reviews mainly focus on synthesis methods,modification and applications,with less emphasis on the relationship between structures and properties,as well as on indepth exploration of the crystalline *** electronic instability of CCN presents challenges for conventional characterization techniques to directly and thoroughly investigate the relationship between its intrinsic atom structure and photocatalytic *** mini-review not only highlights the progress in CCN-based photocatalysts,with a focus on molten-salt synthesis(including solid-salt-induced crystallization),but also emphasizes the atomic structure characterization by specifically introducing the differential phase contrast(DPC)scanning transmission electron microscopy(STEM)technique,which is essential for enhancing our understanding of the crystal structure and photocatalytic mechanisms of ***,the review outlines the photocatalytic performance and puts forward potential challenges on CCN *** review will provide a clearer understanding of the relationship in developing precise customization strategies for CCN materials and ultimately explain the regularity and specificity of the enhanced performance in targeted photocatalytic systems.
With the development of high-frequency and highvoltagetraction machines(TM)incorporating hairpin windings(HW)and SiC inverters for electric vehicles(EV),both theinterturn voltage stress and temperature within HW are r...
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With the development of high-frequency and highvoltagetraction machines(TM)incorporating hairpin windings(HW)and SiC inverters for electric vehicles(EV),both theinterturn voltage stress and temperature within HW are rising,increasing the risk of partial discharge(PD),and presentingsignificant challenges to insulation ***,this paperaddresses this issue and proposes potential ***,thepaper examines an 8-pole,48-slot,6-layer HW TM to highlightthe unique characteristics of this winding structure,and explainsthe uneven distribution of interturn voltage stress ***,a high-frequency equivalent circuitmodel of the HW TM prototype is *** error ofsimulation and experiment is only 5.7%,which proves theaccuracy of the ***,an improved HW scheme isproposed to lower the maximum voltage stress by 29.3%.Furthermore,the temperature distribution of HW TM isanalyzed to facilitate a detailed examination of the impact oftemperature on insulation ***,the partial dischargeinception voltage(PDIV)of interturn insulation,consideringtemperature effects,is calculated and verified *** paper proposes a reliability-oriented designmethod and process for HW *** demonstrates that thereliability-oriented design can achieve PD-free performance inthe design stage of HW.
This study proposes a malicious code detection model DTL-MD based on deep transfer learning, which aims to improve the detection accuracy of existing methods in complex malicious code and data scarcity. In the feature...
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Full waveform inversion(FWI)has showed great potential in the detection of musculoskeletal ***,FWI is an ill-posed inverse problem and has a high requirement on the initial model during the imaging *** inaccurate init...
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Full waveform inversion(FWI)has showed great potential in the detection of musculoskeletal ***,FWI is an ill-posed inverse problem and has a high requirement on the initial model during the imaging *** inaccurate initial model may lead to local minima in the inversion and unexpected imaging results caused by cycle-skipping *** learning methods have been applied in musculoskeletal imaging,but need a large amount of data for *** by work related to generative adversarial networks with physical informed constrain,we proposed a method named as bone ultrasound imaging with physics informed generative adversarial network(BUIPIGAN)to achieve unsupervised multi-parameter imaging for musculoskeletal tissues,focusing on speed of sound(SOS)and *** the in-silico experiments using a ring array transducer,conventional FWI methods and BUIPIGAN were employed for multiparameter imaging of two musculoskeletal tissue *** results were evaluated based on visual appearance,structural similarity index measure(SSIM),signal-to-noise ratio(SNR),and relative error(RE).For SOS imaging of the tibia–fibula model,the proposed BUIPIGAN achieved accurate SOS imaging with best *** specific quantitative metrics for SOS imaging were SSIM 0.9573,SNR 28.70 dB,and RE 5.78%.For the multi-parameter imaging of the tibia–fibula and human forearm,the BUIPIGAN successfully reconstructed SOS and density distributions with SSIM above 94%,SNR above 21 dB,and RE below 10%.The BUIPIGAN also showed robustness across various noise levels(i.e.,30 dB,10 dB).The results demonstrated that the proposed BUIPIGAN can achieve high-accuracy SOS and density imaging,proving its potential for applications in musculoskeletal ultrasound imaging.
Purpose of Review: The purpose of this review is to assess the current state of research into data center flexibility, and its potential. Recent Findings: There are several mechanisms by which data centers can provide...
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Metal Additive Manufacturing (MAM) technology has become an important means of rapid prototyping precision manufacturing of special high dynamic heterogeneous complex parts. In response to the micro-mechanical defects...
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This research explores the various factors influencing the severity of injuries motorcyclists sustain across different collision scenarios. The study considers the types of vehicles involved, including motorcycle(MC),...
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This research explores the various factors influencing the severity of injuries motorcyclists sustain across different collision scenarios. The study considers the types of vehicles involved, including motorcycle(MC), cars, pickup trucks, vans, and trucks. The study is grounded in an analysis of road crashes in Thailand from 2016 to 2019. Recognizing the unique characteristics inherent in each collision type, the study categorizes crashes into six distinct models for a comprehensive analysis. Each model is constructed using the random parameter logit with unobserved heterogeneity in means. Notably, all models incorporate random parameters, with the exception of the MC vs. truck model. Despite some consistent factors across most models, there are noteworthy variations in parameters when comparing different vehicle types. In the context of single-motorcycle crashes,speed limit violation emerges as a critical factor. For the MC vs. MC model, crashes happening from midnight to early morning are significant. The presence of a passenger(pillion) is a key determinant in the MC vs. car model. Meanwhile, in the MC vs. pickup truck model, crashes occurring under poor light conditions from midnight to early morning are of particular importance. The MC vs. van model notably highlights the involvement of male riders. Lastly, the MC vs. truck model draws attention to crashes happening on weekends. By creating specific crash models for diverse vehicle types, this study enhances our understanding of motorcycle crashes. The findings provide valuable insights to inform the development of policies, the design of safety campaigns, the creation of training programs, and the evaluation of road safety.
The co-firing stage is an unavoidable step in the fabrication process of solid oxide fuel cells(SOFCs),and avoiding unwanted interfacial reactions is crucial for cathode construction during the co-firing *** this stud...
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The co-firing stage is an unavoidable step in the fabrication process of solid oxide fuel cells(SOFCs),and avoiding unwanted interfacial reactions is crucial for cathode construction during the co-firing *** this study,LiMn_(2)O_(4)(LiMO),a traditional electrode material for Li-ion batteries,was discovered to have protonation and proton diffusion properties,showing significant promise as a cathode for proton-conducting SOFCs(H-SOFCs).However,obvious interactions between the LiMO cathode and BaCe_(0.7)Zr_(0.1)Y_(0.2)O_(3−δ)(BCZY)electrolyte can be identified during the co-firing process using the conventional sintering method,resulting in poor performance and making the use of LiMO in H-SOFCs *** address this issue,the Joule heating process is used to produce the LiMO cathode for *** contrast to the traditional co-firing process,which takes a few hours,the Joule heating method,which completes the co-sintering procedure in a few seconds,can successfully bind the LiMO to the BCZY electrolyte with no visible interlayer reactions or elemental *** a result,the full potential of LiMO for H-SOFCs is realized,resulting in a high fuel cell output of 1426 mW·cm^(−2) at 700℃,approximately double that of the cell utilizing the normally sintered LiMO *** the best of our knowledge,this is the first study to use Joule heating to prevent the cathode/electrolyte interfacial reaction in H-SOFCs,which presents an interesting approach for manufacturing and may also breathe new life into some materials that are previously incompatible with H-SOFCs.
This study proposes a main inner loop control technique to address the dynamic response of the electromagnetic suspension during vehicle driving. The genetic algorithm is employed to optimize the control parameters of...
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High-nickel cathode LiNi0.8Co0.1Mn0.1O2（NCM811） could enable lithium-ion batteries （LIBs） with high energy ***,excessive decomposition of the electrolyte would happen in the high operating voltage *** addition,the...
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High-nickel cathode LiNi0.8Co0.1Mn0.1O2（NCM811） could enable lithium-ion batteries （LIBs） with high energy ***,excessive decomposition of the electrolyte would happen in the high operating voltage *** addition,the utilization of flammable organic solvents would increase safety risks in the high temperature ***,an electrolyte consisting of flame-retardant solvents with lower highest occupied molecular orbital （HOMO） level and LiDFOB salt is proposed to address above two *** a result,a thin and robust cathode-electrolyte interface containing rich LiF and Li-B-O compounds is formed on the cathode to effectively suppress electrolyte decomposition in the high operating *** NCM811||Li cell paired with this designed electrolyte possesses a capacity retention of 72% after 300 cycles at 55℃.This work provides insights into developing electrolyte for stable high-nickel cathode operated in the high temperature.
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