Showing papers by "Wuhan University of Technology published in 2022"
TL;DR: In this paper, the effect of Fe doping on the dielectric and magnetic properties of LCFOs and the strong hybridization of Co/Fe-3d with O-2p was successfully demonstrated.
109 citations
01 Apr 2022
TL;DR: In this paper , the effect of Fe doping on the dielectric and magnetic properties of LCFOs and the strong hybridization of Co/Fe-3d with O-2p was successfully demonstrated.
Abstract: Perovskite LaCoO3 is of great potential in electromagnetic wave absorption considering its outstanding dielectric loss as well as the existing magnetic response with the magnetic doping. However, the dissipation mechanism of the magnetic doping on the microwave absorption is lack of sufficient investigated. In this paper, LaCo1-xFexO3 (x=0, 0.05, 0.1, 0.15, 0.2, 0.25, 0.3, LCFOs) perovskites with different Fe doping amounts were prepared successfully by the sol-gel method and subsequent heat treatment in the air atmosphere. The structure characterization carried out by the first-principles calculations shows the effect of Fe doping on the dielectric and magnetic properties of LCFOs and the strong hybridization of Co/Fe-3d with O-2p in the LCFOs system was successfully demonstrated. Particularly, when x=0.1 and the thickness is only 1.95 mm, the LaCo0.9Fe0.1O3 exhibits the best microwave absorption performance with the minimum reflection loss (RL) value of about -41 dB. The typical samples achieve a broad effective absorption bandwidth (EAB) of 5.16 GHz (7.92-13.08 GHz), which covers the total X band (8-12 GHz). Considering that, the especial Fe doping perovskite is promising to be a candidate as efficient microwave absorbers.
104 citations
TL;DR: The proposed long short-term memory-based model is a satisfactory method for energy consumption forecasting due to its high accuracy and the high-precision forecasting technology is important for the energy systems.
95 citations
TL;DR: In this paper, an ultralight magnetic-carbon hybrid material was designed to achieve superior microwave absorption performance by instantaneous freezing-induced self-assembly of Fe3+, Co2+glucose complexes on a cheap and water-removable template (i.e., NaCl).
94 citations
01 Jun 2022
TL;DR: A review of state-of-the-art electrochemical methods, instrumentation (based on virtual instrumentation), and advanced sensor/probes that are used in the field for the assessment of corrosion damage is presented in this article .
Abstract: Corrosion degradation is detrimental to metal structures as it shortens their lifetime and leads to huge economic losses and unexpected disasters. Therefore, the detection and monitoring of corrosion degradation is of great importance. Herein, we briefly review the state-of-the-art electrochemical methods, instrumentation (based on virtual instrumentation), and advanced sensor/probes that are used in the field for the assessment of corrosion damage. Typical corrosion monitoring results, some of which have been obtained at Tianjin University in the past 30 years, for metallic materials and organic coating/metal systems in atmospheric, marine, and soil conditions in the field are presented. Detection methods, data analysis, and theoretical and mathematical models regarding each corrosion system are discussed, and the challenges, problems and possible solutions for each case are suggested. Lastly, future developments, such as wireless, intelligent, and automatic electrochemical measurement, that will augment the present electrochemical methods of evaluating corrosion degradation are summarized.
88 citations
TL;DR: A survey of dynamic network embedding can be found in this article , where the authors inspect the data model, representation learning technique, evaluation and application of current related works and derive common patterns from them.
74 citations
TL;DR: In this paper , a few-layered tin sulfides immobilized on nitrogen and phosphorus dual-doped carbon nanofibres (SnSx-N/P-CNFs) was used as an anode material for SIBs.
65 citations
TL;DR: In this paper, a cellulose nanofiber (CF) fabric was prepared by electrospinning technology, and conductive polyaniline (PANI) was deposited on the CF surface via a facile in-situ polymerization process.
58 citations
TL;DR: In this paper , a cellulose nanofiber (CF) fabric was prepared by electrospinning technology, and conductive polyaniline (PANI) was deposited on the CF surface via a facile in-situ polymerization process.
57 citations
TL;DR: In this article , an ultrathin dimension-matched S-scheme Bi3NbO7/g-C3N4 heterostructure was constructed to achieve a CH4 evolution rate of 37.59 μmol·g-1·h-1.
57 citations
TL;DR: In this article , a reduced graphene oxide/copper sulfide/stearic acid (rGO/[email protected]) aerogels loaded with phase change materials were prepared by facile solvothermal and freeze-drying technique.
TL;DR: In this paper, a review of the latest progress in the area of electrocatalytic water splitting by exemplifying different electrospun nanofiber materials in detail is presented.
TL;DR: In this article, PPy planar microhelixes anchored with Fe3O4 nanoparticles were constructed via a simple chemical oxypolymerization coupled with a solvothermal method.
TL;DR: In this article, the microplastic pollutants in different countries and regions were comparatively investigated in terms of their abundances, morphologies, and polymer types in the water and sediments of lakes.
TL;DR: A distributed framework by reimplementing one of state-of-the-art algorithms, i.e., CoFex, using MapReduce is presented, which can considerably improve its computational efficiency by more than two orders of magnitude while retaining the same high accuracy.
Abstract: Protein-protein interactions are of great significance for human to understand the functional mechanisms of proteins. With the rapid development of high-throughput genomic technologies, massive protein-protein interaction (PPI) data have been generated, making it very difficult to analyze them efficiently. To address this problem, this paper presents a distributed framework by reimplementing one of state-of-the-art algorithms, i.e., CoFex, using MapReduce. To do so, an in-depth analysis of its limitations is conducted from the perspectives of efficiency and memory consumption when applying it for large-scale PPI data analysis and prediction. Respective solutions are then devised to overcome these limitations. In particular, we adopt a novel tree-based data structure to reduce the heavy memory consumption caused by the huge sequence information of proteins. After that, its procedure is modified by following the MapReduce framework to take the prediction task distributively. A series of extensive experiments have been conducted to evaluate the performance of our framework in terms of both efficiency and accuracy. Experimental results well demonstrate that the proposed framework can considerably improve its computational efficiency by more than two orders of magnitude while retaining the same high accuracy.
TL;DR: In this article , a review of breakthroughs in the field of fast ionic storage in aqueous battery materials, and 1D/2D/3D and over-3D-tunnel materials are summarized.
Abstract: The highly dynamic nature of grid-scale energy systems necessitates fast kinetics in energy storage and conversion systems. Rechargeable aqueous batteries are a promising energy-storage solution for renewable-energy grids as the ionic diffusivity in aqueous electrolytes can be up to 1-2 orders of magnitude higher than in organic systems, in addition to being highly safe and low cost. Recent research in this regard has focussed on developing suitable electrode materials for fast ionic storage in aqueous electrolytes. In this review, breakthroughs in the field of fast ionic storage in aqueous battery materials, and 1D/2D/3D and over-3D-tunnel materials are summarized, and tunnels in over-3D materials are not oriented in any direction in particular. Various materials with different tunnel sizes are developed to be suitable for the different ionic radii of Li+ , Na+ , K+ , H+ , NH4+ , and Zn2+ , which show significant differences in the reaction kinetics of ionic storage. New topochemical paths for ion insertion/extraction, which provide superfast ionic storage, are also discussed.
TL;DR: In this paper, the authors present the most recent advances on non-metal doped TiO2 photocatalysts in terms of fundamental aspects, origin of visible light activity and the photocatalytic and photoelectrochemical (PEC) behaviors for water splitting.
TL;DR: In this paper, a 1D BiPO4 nanorod/2D g-C3N4 heterostructured photocatalyst was successfully synthesized via a facile one-step hydrothermal process for efficient visible light photocatalytic removal of NO.
TL;DR: In this paper, a review of MOFs' features as semiconductor photocatalysts and various means of improving their light-harvesting, charge separation and CO2 adsorption capacity is presented.
TL;DR: In this paper , a review of MOFs' features as semiconductor photocatalysts and various means of improving their light-harvesting, charge separation and CO2 adsorption capacity is presented.
TL;DR: In this article , the authors discuss several important and effective material design measures for boosting pseudocapacitive responses of materials to improve rate capabilities, which mainly include downsizing, heterostructure engineering, adding atom and vacancy dopants, expanding interlayer distance, exposing active facets, and designing nanosheets.
Abstract: The drastic need for development of power and electronic equipment has long been calling for energy storage materials that possess favorable energy and power densities simultaneously, yet neither capacitive nor battery-type materials can meet the aforementioned demand. By contrast, pseudocapacitive materials store ions through redox reactions with charge/discharge rates comparable to those of capacitors, holding the promise of serving as electrode materials in advanced electrochemical energy storage (EES) devices. Therefore, it is of vital importance to enhance pseudocapacitive responses of energy storage materials to obtain excellent energy and power densities at the same time. In this Review, we first present basic concepts and characteristics about pseudocapacitive behaviors for better guidance on material design researches. Second, we discuss several important and effective material design measures for boosting pseudocapacitive responses of materials to improve rate capabilities, which mainly include downsizing, heterostructure engineering, adding atom and vacancy dopants, expanding interlayer distance, exposing active facets, and designing nanosheets. Finally, we outline possible developing trends in the rational design of pseudocapacitive materials and EES devices toward high-performance energy storage.
TL;DR: In this article, the authors used carbon quantum dots (CQDs) modified TiO2 composites for coproduction of H2 and arabinose with improved selectivity under neutral condition.
TL;DR: In this article , a step-scheme heterojunction ZnO/COF(TpPa-Cl) is fabricated by a simple electrostatic self-assembly method, and its photocatalytic H2O2 production performance is also investigated.
TL;DR: In this article , an aqueous ammonium-ion hybrid supercapacitor (A-HSC) consisting of a layered δ-MnO2 based cathode, an activated carbon cloth anode, and an NH4 2 SO4 electrolyte was developed.
Abstract: The development of novel electrochemical energy storage devices is a grand challenge. Here, an aqueous ammonium-ion hybrid supercapacitor (A-HSC), consisting of a layered δ-MnO2 based cathode, an activated carbon cloth anode, and an aqueous (NH4 )2 SO4 electrolyte is developed. The aqueous A-HSC demonstrates an ultrahigh areal capacitance of 1550 mF cm-2 with a wide voltage window of 2.0 V. An amenable peak areal energy density (861.2 μWh cm-2 ) and a decent capacitance retention (72.2% after 5000 cycles) are also achieved, surpassing traditional metal-ion hybrid supercapacitors. Ex situ characterizations reveal that NH4+ intercalation/deintercalation in the layered δ-MnO2 is accompanied by hydrogen bond formation/breaking. This work proposes a new paradigm for electrochemical energy storage.
TL;DR: In this article, the Ni-N-C active sites are used to anchor Pt NPs, and then effectively limit the further growth and agglomeration of NPs during the reaction process.
TL;DR: In this article, a single-atomic-site V on ultrathin carbon nitride (SAVCN) with V-N charge-transfer bridge was designed as the reaction switch for photocatalytic H2 production and formaldehyde oxidation under visible light.
TL;DR: In this paper, a jet-stirred reactor (JSR) system was developed to combine the synchrotron vacuum ultraviolet photoionization mass spectrometry (SVUV-PIMS) and gas chromatography (GC) analysis.
TL;DR: In this paper , a self-healable ion regulator (SIR) is designed as a desolvation shield to protect the Zn electrodes and guide Zn electrodeposition.
Abstract: Artificial interfaces can alleviate the side reactions and the formation of the metallic (e.g., Li, Na, and Zn) dendrites. However, the traditional ones always breakdown during the repeated plating/stripping and fail to regulate the electrodeposition behaviors of the electrodes. Herein, a self-healable ion regulator (SIR) is designed as a desolvation shield to protect the Zn electrodes and guide the Zn electrodeposition. Benefiting from the intermolecular hydrogen bonds, SIR shows a superb capability to in situ repair the plating/stripping-induced cracks. Besides, the results of theoretical calculations and electrochemical characterizations show that the coating reduces water molecules in the solvated sheath of hydrated Zn2+ and restrains the random Zn2+ diffusion on the Zn surface. Even with a coating layer of only 360 nm, the SIR-modified Zn electrode exhibits excellent long-term stability for >3500 h at 2 mAh cm-2 and >950 h at an ultrahigh areal capacity of 20 mAh cm-2 .
TL;DR: An accurate adaptive signal decomposition method, called the empirical Fourier decomposition (EFD), is proposed to solve the aforementioned problems and it is shown that the EFD can decompose a signal with closely-spaced modes with higher accuracy, compared with the other decomposition methods.
TL;DR: A hybrid multiobjective genetic algorithm (HMOGA) is incorporated into the proposed framework to solve the EJSP-SDST, aiming to minimize the makespan, total tardiness and total energy consumption simultaneously.
Abstract: Energy-efficient production scheduling research has received much attention because of the massive energy consumption of the manufacturing process. In this article, we study an energy-efficient job-shop scheduling problem with sequence-dependent setup time, aiming to minimize the makespan, total tardiness and total energy consumption simultaneously. To effectively evaluate and select solutions for a multiobjective optimization problem of this nature, a novel fitness evaluation mechanism (FEM) based on fuzzy relative entropy (FRE) is developed. FRE coefficients are calculated and used to evaluate the solutions. A multiobjective optimization framework is proposed based on the FEM and an adaptive local search strategy. A hybrid multiobjective genetic algorithm is then incorporated into the proposed framework to solve the problem at hand. Extensive experiments carried out confirm that our algorithm outperforms five other well-known multiobjective algorithms in solving the problem.