Energy Storage最新文献

{"title":"Optimizing La₂MnXO₆ Double Perovskite for Superior Electrochemical Efficiency in Supercapacitors","authors":"Ahmar Ali,&nbsp;Mohammed A. Gondal,&nbsp;Javed A. Khan,&nbsp;Mujahid Mustaqeem,&nbsp;Munerah A. Almessiere,&nbsp;Abdulhadi Baykal","doi":"10.1002/est2.70123","DOIUrl":"https://doi.org/10.1002/est2.70123","url":null,"abstract":"<div>\u0000 \u0000 <p>Double perovskite oxides (POs) are effective electrode materials for supercapacitors (SCs). Nevertheless, adapting their unique architectures to boost the electrochemical performance remains tricky. Herein, we present exceptional La₂MnXO₆ (X = Co, Fe) double perovskites as SC electrode materials. The sol–gel method has prepared La₂MnCoO₆ (LMCO) and La₂MnFeO₆ (LMFO) nanorods. XRD revealed that LMCO and LMFO have monoclinic crystal structures with lattice constants of <i>a</i> = 5.517 Å, <i>b</i> = 5.528 Å, <i>c</i> = 7.805 Å, <i>β</i> = 89.926°, and <i>a</i> = 5.549 Å, <i>b</i> = 5.557 Å, <i>c</i> = 7.783 Å, <i>β</i> = 89.931°, respectively. Scanning electron microscopy indicated the existence of uniformly distributed nanorods. The bandgap using Tauc's plot was determined as 1.38 and 1.24 eV for La₂MnCoO₆ and La₂MnFeO₆, respectively. Fourier-transform infrared spectroscopy further characterized the prepared LMCO and LMFO nanorods. X-ray photoelectron spectroscopy investigation confirmed the existence of La³⁺, Mn³⁺, Fe³⁺, O²⁻, and La³⁺, Mn³⁺, Co³⁺, O²⁻ ions on the surface of La₂MnFeO₆ and La₂MnFeO₆, respectively. The specific capacitance achieved was 333.86 and 880.5 F/g @ 2.5 A/g for La₂MnCoO₆ and La₂MnFeO₆, respectively, using 1 M KOH electrolyte. La₂MnFeO₆ demonstrated excellent energy and power density of 30.5 Wh/kg and 625 W/kg. The asymmetric CV curve shape proved that we have battery-type SC behavior due to the indication of redox reactions. Furthermore, Dunn's technique evaluated the percentage contribution of capacitive and diffusion behavior. Our strategy using LMCO and LMFO nanorods material improved specific capacitance activity and significantly offered a facile guideline for targeting double perovskite electrodes for SC applications.</p>\u0000 </div>","PeriodicalId":11765,"journal":{"name":"Energy Storage","volume":"7 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143117853","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Innovative Organic Electrolytes for Enhanced Energy Density and Performance in Supercapacitors","authors":"Vivek Chaudhry,&nbsp;Joginder Singh,&nbsp;Ahmed A. Ibrahim,&nbsp;Sadia Ameen,&nbsp;Ahmad Umar,&nbsp;M. S. Akhtar","doi":"10.1002/est2.70117","DOIUrl":"https://doi.org/10.1002/est2.70117","url":null,"abstract":"<div>\u0000 \u0000 <p>Supercapacitors, known for their high-power energy storage capabilities, have garnered significant attention due to their rapid charge–discharge cycles and extended life span. To expand their application in fields such as electric vehicles, renewable energy systems, and portable electronic devices, the development of advanced electrolytes that can boost energy density, power density, and overall performance is crucial. This study introduces a novel electrolyte formulation comprising lithium chloride in ethylene glycol and Magnesium Acetate in methanol. These formulations are designed to address existing challenges and enhance supercapacitor efficiency. The study reports impressive specific capacitance values (Csp = 582, 360, and 224 F/g), specific energy (SE = 323, 200, and 124 Wh/kg), and specific power (SP = 11 628, 7200, and 1322 W/kg) for lithium chloride, magnesium acetate, and zinc chloride electrolytes, respectively. These findings open new avenues for developing optimal and sustainable energy storage solutions in an increasingly electrified world. Continued research in this domain is expected to unlock the full potential of supercapacitors, contributing to a cleaner and more energy-efficient future.</p>\u0000 </div>","PeriodicalId":11765,"journal":{"name":"Energy Storage","volume":"7 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143117440","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Electrochemical Degradation Study of 4-Chlorophenol Using Magnesium Ferrite Catalysts Prepared by Solution Combustion","authors":"Aromal Ashok,&nbsp;Ibrahim Abu Reesh,&nbsp;Anand Kumar","doi":"10.1002/est2.70129","DOIUrl":"https://doi.org/10.1002/est2.70129","url":null,"abstract":"<p>Electrochemical degradation of 4-chlorophenol (4-CP) was investigated using a rotating disk electrode (RDE) over magnesium ferrite (MgFe₂O₄), iron-oxide and magnesium-oxide in presence of 4-CP in varying concentrations of 25, 50, and 75 mg/L. The objective of this study is to evaluate the effectiveness of these catalysts in achieving high current densities during the degradation process, and to understand their relation with the structural properties of the catalysts obtained from standard characterization techniques. Our results indicate that the MgO catalyst shows a poor current density for electrocatalytic degradation of 4-CP. However, when MgO is used in presence of iron oxide, as in MgFe₂O₄, a high current density for 4-CP degradation is observed, indicating the synergistic role of Mg<span></span>Fe system in improving catalytic activity. On the other hand, iron oxide alone showed the highest current density, however, most of which is expected to be associated with water splitting as opposed to 4-CP degradation. Our findings highlight the potential of magnesium ferrite based mixed oxide catalysts in environmental applications, and also provide insights into the role of Mg in modulating catalytic performance. Additionally, this work also emphasizes the role of implementing RDE technique in identifying suitable catalysts for studying 4-CP degradation in wastewater.</p>","PeriodicalId":11765,"journal":{"name":"Energy Storage","volume":"7 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-01-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/est2.70129","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143117161","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Impact of Current Collectors on the Electrochemical Performance of Pseudocapacitive Material: Sr2FeCoO6","authors":"Pramod Kumar,&nbsp;Harish Verma,&nbsp;Aayush Mittal,&nbsp;Bhaskar Bhattacharya,&nbsp;Shail Upadhyay","doi":"10.1002/est2.70124","DOIUrl":"https://doi.org/10.1002/est2.70124","url":null,"abstract":"<div>\u0000 \u0000 <p>This work reports the synthesis of Sr₂FeCoO₆, double perovskite, via a wet chemical method. X-ray diffraction (XRD) analysis and Rietveld refinement confirmed the successful formation of pure, single-phase perovskite structure with the <span></span><math>\u0000 <semantics>\u0000 <mrow>\u0000 <mi>Pm</mi>\u0000 <mover>\u0000 <mn>3</mn>\u0000 <mo>¯</mo>\u0000 </mover>\u0000 <mi>m</mi>\u0000 </mrow>\u0000 <annotation>$$ mathrm{Pm}overline{3}mathrm{m} $$</annotation>\u0000 </semantics></math> space group. The Raman spectrum showed minor peaks, suggesting structural distortions likely caused by defects. Transmission electron microscopy (TEM) revealed irregularly shaped polycrystalline particles, while Brunauer–Emmett–Teller (BET) analysis indicated an average surface area of 3.01 m²/g and a pore diameter of 37.8 nm. Current collectors, namely, carbon Toray paper, carbon cloth, nickel foam, and nickel strip, were selected to evaluate the electrochemical properties of Sr₂FeCoO₆. The morphology of the current collectors was captured using a scanning electron microscope (SEM). The electrochemical performance of bare and loaded (with Sr₂FeCoO₆) current collectors was assessed under similar measurement conditions. The high specific capacitance of the sample is observed over the carbon cloth and nickel foam to be 105.7 and 93.3 F/g, respectively, while bare carbon cloth shows very high capacitance. By comparing the performance of different current collectors, we have identified the key factors influencing the material's performance. This study will enhance our understanding of its potential applications in energy storage and other pertinent areas.</p>\u0000 </div>","PeriodicalId":11765,"journal":{"name":"Energy Storage","volume":"7 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143115386","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Evaluating the Effectiveness of Boosting and Bagging Ensemble Techniques in Forecasting Lithium-Ion Battery Useful Life","authors":"Ankit Sonthalia,&nbsp;Femilda Josephin JS,&nbsp;Fethi Aloui,&nbsp;Edwin Geo Varuvel","doi":"10.1002/est2.70118","DOIUrl":"https://doi.org/10.1002/est2.70118","url":null,"abstract":"<div>\u0000 \u0000 <p>It is essential to forecast the exact rate at which the cell's capacity would decline for practical uses, to comprehend the intricate and non-linear behavior of the cell. Furthermore, the majority of studies provided subpar prediction criteria, making early cell lifetime prediction difficult. Applying reliable and accurate aging models to the dynamic on-road conditions presents additional challenges. In this work, the battery lifetime during its earliest phases of use was accurately predicted using machine learning models. After analyzing the patterns of the parameters, 12 hand-crafted features were selected and the raw data of the first 100 cycles of 126 cells was used for creating the dataset for the features. The dataset was then used to train five machine learning models namely random forest, gradient boosting machine (GBM), light gradient boosting machine (LGBM), extreme gradient boosting machine (XGBoost), and gradient boost with categorical features (CATBoost). The statistical analysis reveals that XGBoost algorithm present the best result with a <i>R</i>² value of 0.95 and root-mean-square-error (RMSE) of 97 cycles. Lastly, in comparison to existing studies, the RMSE significantly reduced from a maximum of 138 to 97 cycles.</p>\u0000 </div>","PeriodicalId":11765,"journal":{"name":"Energy Storage","volume":"7 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143114345","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Effect of Ni Incorporation in KCoPO4 on the Charge Storage Capacity of KCo1 − xNixPO4 (0 ≤ x ≤ 0.5) Electrodes for the Fabrication of High-Performing Hybrid Supercapacitors","authors":"Krishna Gopal Nigam,&nbsp;Abhijeet Kumar Singh,&nbsp;Soham Mukherjee,&nbsp;Asha Gupta,&nbsp;Preetam Singh","doi":"10.1002/est2.70104","DOIUrl":"https://doi.org/10.1002/est2.70104","url":null,"abstract":"<div>\u0000 \u0000 <p>Fulfilling the increasing energy demands of the world through renewable energy sources requires the utilization of a highly efficient large-scale electrochemical energy storage device. A hybrid supercapacitor (HSC) that consists of a battery-type electrode coupled with a counter-capacitive electrode, while in principle offering supercapacitor-like power, cyclability, and higher energy density, can be a potential device for large-scale energy storage to cater to the energy needs through renewable energy sources. The KCo_0.5Ni_0.5PO₄ electrode demonstrated notably enhanced electrochemical performance, attributed to the synergistic interaction of Co²⁺ and Ni²⁺ ions in a phosphate framework. The incorporation of redox-mediated diffusive charge storage through the incorporation of Ni²⁺ on the Co²⁺ site resulted in a large-scale charge storage capacity, coupled with capacitive-type surface charge storage on the KCo_1−<i>x</i>Ni_<i>x</i>PO₄ electrodes. The KCo_0.5Ni_0.5PO₄ delivers 173 mAh/g (capacitance: 1038 F/g) at a current density of 0.5 A/g in an aqueous 2 M KOH electrolyte, accompanied by cyclic stability up to 5000 cycles. HSC mode consists of activated carbon as the negative electrode along with KNi_0.5Co_0.5PO₄ as the positive electrode, displaying high energy density and power density of 183.7 Wh/kg and 7952 W/kg, respectively, in 2 M aqueous KOH electrolyte. The superior performance in HSC mode makes KCo_0.5Ni_0.5PO₄ a potential positive electrode for the development of high-performing HSCs.</p>\u0000 </div>","PeriodicalId":11765,"journal":{"name":"Energy Storage","volume":"7 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143114354","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Efficient Energy Management System for AC–DC Microgrid and Electric Vehicles Utilizing Renewable Energy With HCO Approach","authors":"S. Sruthi,&nbsp;K. Karthikumar,&nbsp;P. Chandrasekar","doi":"10.1002/est2.70054","DOIUrl":"https://doi.org/10.1002/est2.70054","url":null,"abstract":"<div>\u0000 \u0000 <p>The reliability of various energy sources can be increased and distributed production and renewable energy can be fully integrated into the power grid on a wide scale through the growth and development of the microgrid (MG). Global energy difficulties are brought about by the finite supply of fossil fuels and the world's expanding energy consumption. Due to these challenges, the electric power system has to convert to a renewable energy-based power generation system to produce clean, green energy. However, because of the unpredictable nature of the environment, the shift toward the use of renewable energy sources raises uncertainty in the production, control, and power system operation. This manuscript proposes a renewable energy-based energy management system for electric vehicles and AC–DC MGs. The proposed method is Hermit Crab Optimizer (HCO). The major goal of the proposed strategy is to supply steady power regardless of generation disparity, which should stop the storage devices from degrading too quickly. The HCO approach provides a stable power balance for MG operation. The proposed technique efficiently strikes a power balance to meet load requirements and recharge electric cars. By then, the proposed strategy is implemented in the MATLAB platform and the execution is computed with the existing procedure. The proposed technique displays better outcomes in all existing systems like biogeography-based optimization (BBO) algorithm, particle swarm optimization (PSO) algorithm, genetic algorithm (GA), and artificial neural network (ANN). The existing technique shows the cost of 25$, 30$, 35$, 40$, and the proposed technique displays the cost of 20$ which is lower than the other existing techniques.</p>\u0000 </div>","PeriodicalId":11765,"journal":{"name":"Energy Storage","volume":"7 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143114371","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Metal-Doped Nitride-Based Nanostructures for Saving Sustainable and Clean Energy in Batteries","authors":"Fatemeh Mollaamin,&nbsp;Majid Monajjemi","doi":"10.1002/est2.70122","DOIUrl":"https://doi.org/10.1002/est2.70122","url":null,"abstract":"<div>\u0000 \u0000 <p>The hypothesis of the energy adsorption phenomenon was confirmed by density distributions of CDD, TDOS, and LOL for GaN and ternary alloys of AlGaN and InGaN. Based on TDOS, the excessive growth technique on doping manganese is a potential approach to designing high-efficiency hybrid semipolar gallium nitride–based devices in a long wavelength zone. A vaster jointed area engaged by an isosurface map for Mn doping GaN, AlGaN, and InGaN toward formation of nanocomposites of Mn@GaN–H, Mn@AlGaN–H, and Mn@InGaN–H after hydrogen adsorption due to labeling atoms of N(4), Mn(5), and H (18), respectively. Therefore, it can be considered that manganese in the functionalized Mn@GaN, Mn@AlGaN, or Mn@InGaN might have more impressive sensitivity for admitting the electrons in the status of hydrogen adsorption. Furthermore, Mn@GaN, Mn@AlGaN, or Mn@InGaN are potentially advantageous for certain high-frequency applications requiring batteries for energy storage. The advantages of manganese over GaN, AlGaN, or InGaN include its higher electron and hole mobility, allowing manganese doping devices to operate at higher frequencies than nondoping devices. A comprehensive investigation on hydrogen grabbing by heteroclusters of Mn-doped GaN, AlGaN, and InGaN was carried out using DFT computations. The position of the Mn-doped energy states was evaluated via the spectra obtained from the bipolar devices with the Mn-doped GaN/AlGaN/InGaN as an active layer.</p>\u0000 </div>","PeriodicalId":11765,"journal":{"name":"Energy Storage","volume":"7 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143114344","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Synthesis of Mn-P-Na Based Nanocrystallite Composites and Investigation of Their Thermal Behavior Towards Heat Storage and Dissipation Applications","authors":"Rudrarapu Aravind,&nbsp;Akash Kumar Sahu,&nbsp;Naga Lakshmi Pavuluri,&nbsp;Gouri Sankhar Brahma,&nbsp;Sandip S. Deshmukh","doi":"10.1002/est2.70106","DOIUrl":"https://doi.org/10.1002/est2.70106","url":null,"abstract":"<div>\u0000 \u0000 <p>In this study, we report the synthesis, characterization, and thermal behavior of sodium hydroxide based two manganese-phosphate nanocrystallite composites, MnPNa₁ = Mn₂(PO₄)OH. 0.2H₃PO₄. 0.1NaOH.H₂O (calcined) and MnPNa₂ = Mn₂(PO₄)OH. 2H₂O. 0.8H₃PO₄. 0.1NaOH. H₂O (non-calcined), and the molecular weights of the composites are estimated to be 247.40 and 360.20 g/mol, respectively. Comprehensive characterization was carried out, which includes elemental analysis, X-ray powder diffraction, thermogravimetric analysis, derivative thermogravimetry, Fourier Transform Infrared (FT-IR) Spectrometry, and scanning electron microscopy. Confirmation of the different functional groups within the composites was done through FT-IR analysis. Differential scanning calorimetry analyses revealed distinct thermal behaviors: MnPNa₁ exhibited consistent exothermic properties, making it suitable as a heat dissipation material (HDM) with high stability across a broad temperature range. In contrast, MnPNa₂ displayed a high specific heat capacity (Cp) of 1.23 J/g·K, highlighting its potential as a sensible heat storage material. The crystallinity of MnPNa₁ (89.83%) further supports its stability and application in heat dissipation technologies, while MnPNa₂'s smaller crystallite size enhances its surface interactions for efficient heat storage. The crystallite sizes of MnPNa₁ and MnPNa₂ are found to be 25.5 and 18.8 nm, respectively.</p>\u0000 </div>","PeriodicalId":11765,"journal":{"name":"Energy Storage","volume":"7 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143113738","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Machine Learning for Predicting Thermal Runaway in Lithium-Ion Batteries With External Heat and Force","authors":"Enes Furkan Örs,&nbsp;Nader Javani","doi":"10.1002/est2.70111","DOIUrl":"https://doi.org/10.1002/est2.70111","url":null,"abstract":"<div>\u0000 \u0000 <p>The current study aims to predict the thermal runaway in lithium-ion batteries using five artificial intelligence algorithms, considering the environmental factors and various design parameters. Multiple linear regression, k-nearest neighbors, decision tree, and random forest are used as machine learning algorithms, while artificial neural networks are used as deep learning algorithms. Nineteen experimental datasets are used to train the models. First, Pearson's correlation matrix is used to investigate the effects of input parameters on the thermal runaway onset time. The dataset is then updated to include only tests with thermal runaway produced by an external heat source. As a result of comparison among model performance prediction, it is determined that the decision tree model is the best-performing model with a coefficient of determination (R²) score of 0.9881, followed by random forest, k-nearest neighbors, artificial neural networks, and multiple linear regression models. The dataset is modified when the thermal runaway is triggered by external heating and compression forces. Results show that in this case, the performance of the decision tree model has an R² of 0.9742. Finally, the force range in which the model has the best performance is predicted, which is helpful in conducting tests to obtain reliable results.</p>\u0000 </div>","PeriodicalId":11765,"journal":{"name":"Energy Storage","volume":"7 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143113466","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}