Journal of Power Sources Advances最新文献_第5页

Determination of reliable resistance values for electrical double-layer capacitors 双层电容器可靠电阻值的测定

IF 4.5

Journal of Power Sources Advances Pub Date : 2022-08-01 DOI: 10.1016/j.powera.2022.100098

Lukas Köps , Pietro Zaccagnini , Candido Fabrizio Pirri , Andrea Balducci

引用次数: 0

Stress evolution and thickness change of a lithium-ion pouch cell under various cycling conditions 不同循环条件下锂离子袋状电池的应力演化及厚度变化

IF 4.5

Journal of Power Sources Advances Pub Date : 2022-08-01 DOI: 10.1016/j.powera.2022.100103

Congrui Jin , Yanli Wang , Ali Soleimani Borujerdi , Jianlin Li

{"title":"Stress evolution and thickness change of a lithium-ion pouch cell under various cycling conditions","authors":"Congrui Jin , Yanli Wang , Ali Soleimani Borujerdi , Jianlin Li","doi":"10.1016/j.powera.2022.100103","DOIUrl":"10.1016/j.powera.2022.100103","url":null,"abstract":"<div><p>To design large-sized lithium-ion battery modules for the application of electric vehicles and grid-level energy storage, it is of important significance to understand how stress and dimension of a single pouch cell fluctuate during charge/discharge cycles. In this study, stress evolution under the constant-thickness condition and thickness change under the constant-stress condition are measured for in-house fabricated pouch cells, respectively. The results of stress measurements show that the stress increase percentage generally decreases when the charge/discharge current increases, regardless of the value of the initial compressive stress. With the same current density, the stress increase percentage generally increases when the upper cutoff voltage increases. With the same current density and upper cutoff voltage, the stress increase percentage decreases when the initial compressive stress increases. The results of thickness measurements show that the volume expansion percentage generally increases when the current density increases, regardless of the value of the constant compressive stress. With the same current density, the volume expansion percentage generally increases when the upper cutoff voltage increases. With the same current density and upper cutoff voltage, the volume expansion decreases when the constant compressive stress increases. The results provide important insights into the design principles of battery packs.</p></div>","PeriodicalId":34318,"journal":{"name":"Journal of Power Sources Advances","volume":"16 ","pages":"Article 100103"},"PeriodicalIF":4.5,"publicationDate":"2022-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S266624852200021X/pdfft?md5=f780a63035a8a3b129c27f40745b0c93&pid=1-s2.0-S266624852200021X-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45346845","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}

引用次数: 4

Acceleration of through-plane water removal in polymer electrolyte fuel cell by channel hydrophilization and electrode perforation 通道亲水性和电极穿孔加速聚合物电解质燃料电池的通平面除水

IF 4.5

Journal of Power Sources Advances Pub Date : 2022-08-01 DOI: 10.1016/j.powera.2022.100102

Kosuke Nishida , Yudai Kono , Ryoichi Funaoka , Tatsuki Furukawa

{"title":"Acceleration of through-plane water removal in polymer electrolyte fuel cell by channel hydrophilization and electrode perforation","authors":"Kosuke Nishida , Yudai Kono , Ryoichi Funaoka , Tatsuki Furukawa","doi":"10.1016/j.powera.2022.100102","DOIUrl":"10.1016/j.powera.2022.100102","url":null,"abstract":"<div><p>To alleviate water flooding in cathode electrodes of polymer electrolyte fuel cells (PEFCs), it is essential to design the optimum channel/electrode structure for rapid water removal. This study presented a novel hybrid structure with the channel hydrophilization and electrode perforation for accelerating the through-plane water discharge and demonstrated the effect of its structure on the water transports in the cathode channel and gas diffusion layer (GDL) of a working PEFC with optical and X-ray imaging. The results revealed that the hydrophilization of the channel walls encourages the through-plane water suction form the GDL to the channel. Furthermore, the electrode perforation promotes the in-plane water discharge from the fine porous media to the large penetration grooves and holes. The synergistic effect of these two water transports in the hybrid structure effectively alleviates the flooding in the porous layers and enhances the oxygen diffusibility, resulting in significant improvement of the cell performance.</p></div>","PeriodicalId":34318,"journal":{"name":"Journal of Power Sources Advances","volume":"16 ","pages":"Article 100102"},"PeriodicalIF":4.5,"publicationDate":"2022-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666248522000208/pdfft?md5=5e118c01fed9a2bf192947514e4f937d&pid=1-s2.0-S2666248522000208-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41698249","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}

引用次数: 1

Evaluation of ionomer distribution on porous carbon aggregates in catalyst layers of polymer electrolyte fuel cells 聚合物电解质燃料电池催化剂层多孔碳团聚体上离子分布的评价

IF 4.5

Journal of Power Sources Advances Pub Date : 2022-05-01 DOI: 10.1016/j.powera.2022.100096

Kayoung Park, Ruijing Gao, Magnus So, Tae Hyoung Noh, Naoki Kimura, Yoshifumi Tsuge, Gen Inoue

{"title":"Evaluation of ionomer distribution on porous carbon aggregates in catalyst layers of polymer electrolyte fuel cells","authors":"Kayoung Park, Ruijing Gao, Magnus So, Tae Hyoung Noh, Naoki Kimura, Yoshifumi Tsuge, Gen Inoue","doi":"10.1016/j.powera.2022.100096","DOIUrl":"https://doi.org/10.1016/j.powera.2022.100096","url":null,"abstract":"<div><p>Understanding ionomer distribution properties that facilitate proton conduction and oxygen transfer to Pt particles in the cathode catalyst layer (CCL) of the polymer electrolyte fuel cell (PEFC) is essential for optimized design of CCL with high cell performance. In this study, the model structure of Ketjen black (KB) as porous carbon was numerically simulated. After validating the model, the relationship between the weight ratio of ionomer/carbon (I/C) and ionomer coverage was investigated. Moreover, relative proton conductivity of simulated KB was compared with the reference data of Vulcan XC-72 (VB) as non-porous carbon. Under the same I/C ratio conditions, ionomer coverage significantly differed depending on the carbon support. Moreover, under the same carbon volume ratio conditions, simulated KB exhibited lower relative proton conductivity than VB because simulated KB had the lower ionomer volume ratio than that of simulated VB. The relationship between ionomer content and ionomer properties differ depending on the carbon support. The results of our study can contribute to designing an optimal catalyst layer.</p></div>","PeriodicalId":34318,"journal":{"name":"Journal of Power Sources Advances","volume":"15 ","pages":"Article 100096"},"PeriodicalIF":4.5,"publicationDate":"2022-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666248522000142/pdfft?md5=814f71c948285f12645ac647016d3468&pid=1-s2.0-S2666248522000142-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91709317","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}

引用次数: 0

On the role of porous transport layer thickness in polymer electrolyte water electrolysis 多孔传输层厚度在聚合物电解质水电解中的作用

IF 4.5

Journal of Power Sources Advances Pub Date : 2022-05-01 DOI: 10.1016/j.powera.2022.100095

Carl Cesar Weber , Tobias Schuler , Ruben De Bruycker , Lorenz Gubler , Felix N. Büchi , Salvatore De Angelis

{"title":"On the role of porous transport layer thickness in polymer electrolyte water electrolysis","authors":"Carl Cesar Weber , Tobias Schuler , Ruben De Bruycker , Lorenz Gubler , Felix N. Büchi , Salvatore De Angelis","doi":"10.1016/j.powera.2022.100095","DOIUrl":"10.1016/j.powera.2022.100095","url":null,"abstract":"<div><p>The reduction of capital and operational expenditure in polymer electrolyte water electrolysis (PEWE) is of crucial importance for materializing the hydrogen economy. Optimizing the components and design of PEWE cells is a major contribution to this goal. In this study, we have analyzed the impact of reducing the anodic porous transport layer (PTL) thickness by over one order of magnitude from 2 mm to 0.16 mm while keeping other parameters in the PTL constant for a systematic comparison. PTL morphology and its impact on cell performance have been correlated by X-ray tomographic microscopy (XTM) and overpotential breakdown analysis. We found that varying PTL thicknesses in this range can contribute to up to 120 mV overpotential at 4 A/cm<sup>2</sup> which can be attributed to water transport limitations below the flow field land in thin PTLs. Furthermore, the results indicate that there is an optimal thickness in dependency of the flow field design. For the investigated class of materials, this is corresponding to roughly half of the flow field land size. Subsequently, a guideline was deduced for the optimal relation of PTL thickness and flow field characteristics.</p></div>","PeriodicalId":34318,"journal":{"name":"Journal of Power Sources Advances","volume":"15 ","pages":"Article 100095"},"PeriodicalIF":4.5,"publicationDate":"2022-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666248522000130/pdfft?md5=234caa6c0309dc0ff4f6324f978d9c65&pid=1-s2.0-S2666248522000130-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45425724","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}

引用次数: 7

Tuning the photocatalytic properties of porphyrins for hydrogen evolution reaction: An in-silico design strategy 调节卟啉在析氢反应中的光催化性能:一种硅设计策略

IF 4.5

Journal of Power Sources Advances Pub Date : 2022-05-01 DOI: 10.1016/j.powera.2022.100090

Cleber F.N. Marchiori , Giane B. Damas , C. Moyses Araujo

{"title":"Tuning the photocatalytic properties of porphyrins for hydrogen evolution reaction: An in-silico design strategy","authors":"Cleber F.N. Marchiori , Giane B. Damas , C. Moyses Araujo","doi":"10.1016/j.powera.2022.100090","DOIUrl":"10.1016/j.powera.2022.100090","url":null,"abstract":"<div><p>Porphyrins constitute a class of attractive materials for harvesting sunlight and promote chemical reactions following their natural activity for the photosynthetic process in plants. In this work, we employ an in-silico design strategy to propose novel porphyrin-based materials as photocatalysts for hydrogen evolution reaction (HER). More specifically, a set of meso-substituted porphyrins with donor-acceptor architecture are evaluated within the density functional theory (DFT) framework, according to these screening criteria: i) broad absorption spectrum in the ultraviolet–visible (UV–Vis) and near infrared (NIR) range, ii) suitable redox potentials to drive the uphill reaction that lead to molecular hydrogen formation, iii) low exciton binding free energy (<em>E</em><sub><em>b</em></sub>), and iv) low hydrogen binding free energy (ΔG<sub>H</sub>), a quantity that should present low HER overpotentials, ideally ΔG<sub>H</sub> = 0. The outcomes indicate that the Se-containing compound, where the donor ligands are attached to the porphyrin core by the spacer, outstands as the most promising candidate that is presented in this work. It displays a broad absorption in the visible and NIR regions to up to 1000 nm, suitable catalytic power, low <em>E</em><sub><em>b</em></sub> (in special in high dielectric constant environment, such as water) and the lowest ΔG<sub>H</sub> = +0.082 eV. This is comparable, in absolute values, to the value exhibited by platinum (ΔG<sub>H</sub> = −0.10 eV), one of the most efficient catalysts for HER.</p></div>","PeriodicalId":34318,"journal":{"name":"Journal of Power Sources Advances","volume":"15 ","pages":"Article 100090"},"PeriodicalIF":4.5,"publicationDate":"2022-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666248522000087/pdfft?md5=cd79bf0716d1fa3c8d686826769dcad7&pid=1-s2.0-S2666248522000087-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45931609","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}

引用次数: 1

Simulation to estimate the correlation of porous structure properties of secondary batteries determined through machine learning 模拟估计通过机器学习确定的二次电池多孔结构特性的相关性

IF 4.5

Journal of Power Sources Advances Pub Date : 2022-05-01 DOI: 10.1016/j.powera.2022.100094

Shota Ishikawa, Xuanchen Liu, Tae Hyoung Noh, Magnus So, Kayoung Park, Naoki Kimura, Gen Inoue, Yoshifumi Tsuge

{"title":"Simulation to estimate the correlation of porous structure properties of secondary batteries determined through machine learning","authors":"Shota Ishikawa, Xuanchen Liu, Tae Hyoung Noh, Magnus So, Kayoung Park, Naoki Kimura, Gen Inoue, Yoshifumi Tsuge","doi":"10.1016/j.powera.2022.100094","DOIUrl":"10.1016/j.powera.2022.100094","url":null,"abstract":"<div><p>The negative and positive electrodes of lithium-ion batteries exhibit different structural characteristics. In this study, considering the characteristics of each electrode layer of a lithium-ion battery, the correlation equation of the effective ion conductivity was formulated using a machine learning model. In general, the tortuosity depends on the porous structure, and therefore, the morphology of the packed particles. The graphite particles that constitute the negative electrode have a flat shape, in terms of the aspect ratio. Therefore, the tortuosity of a structure likely depends on the aspect ratio. In contrast, because the positive electrode represents a secondary aggregate, the tortuosity depends on the particle morphology. In this scenario, the parameters representing the particle shape are unclear. Considering these aspects, the tortuosity for the negative electrode in terms of the particle aspect ratio was predicted through nonlinear regression based on a support vector machine. The tortuosity for the positive electrode was predicted using the cross-sectional image of the electrode, with the particle shape considered as a feature. This clarified the correlation between the tortuosity and other structural properties or images. The obtained findings can be applied in various fields pertaining to porous materials and facilitate the optimization of structural designs.</p></div>","PeriodicalId":34318,"journal":{"name":"Journal of Power Sources Advances","volume":"15 ","pages":"Article 100094"},"PeriodicalIF":4.5,"publicationDate":"2022-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666248522000129/pdfft?md5=c09857513edb0ac646835233cc3982d7&pid=1-s2.0-S2666248522000129-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49450498","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}

引用次数: 2

Microstructure-resolved degradation simulation of lithium-ion batteries in space applications 空间应用中锂离子电池微结构降解模拟

IF 4.5

Journal of Power Sources Advances Pub Date : 2022-03-01 DOI: 10.1016/j.powera.2022.100083

Linda J. Bolay , Tobias Schmitt , Simon Hein , Omar S. Mendoza-Hernandez , Eiji Hosono , Daisuke Asakura , Koichi Kinoshita , Hirofumi Matsuda , Minoru Umeda , Yoshitsugu Sone , Arnulf Latz , Birger Horstmann

{"title":"Microstructure-resolved degradation simulation of lithium-ion batteries in space applications","authors":"Linda J. Bolay , Tobias Schmitt , Simon Hein , Omar S. Mendoza-Hernandez , Eiji Hosono , Daisuke Asakura , Koichi Kinoshita , Hirofumi Matsuda , Minoru Umeda , Yoshitsugu Sone , Arnulf Latz , Birger Horstmann","doi":"10.1016/j.powera.2022.100083","DOIUrl":"10.1016/j.powera.2022.100083","url":null,"abstract":"<div><p>In-orbit satellite REIMEI, developed by the Japan Aerospace Exploration Agency, has been relying on off-the-shelf Li-ion batteries since its launch in 2005. The performance and durability of Li-ion batteries is impacted by various degradation mechanisms, one of which is the growth of the solid-electrolyte interphase (SEI). In this article, we analyse the REIMEI battery and parameterize a full-cell model with electrochemical cycling data, computer tomography images, and capacity fading experiments using image processing and surrogate optimization. We integrate a recent model for SEI growth into a full-cell model and simulate the degradation of batteries during cycling. To validate our model, we use experimental and in-flight data of the satellite batteries. Our combination of SEI growth model and microstructure-resolved 3D simulation shows, for the first time, experimentally observed inhomogeneities in the SEI thickness throughout the negative electrode for the degraded cells.</p></div>","PeriodicalId":34318,"journal":{"name":"Journal of Power Sources Advances","volume":"14 ","pages":"Article 100083"},"PeriodicalIF":4.5,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666248522000014/pdfft?md5=93c076a2ff582b48af7da7dc44a7c1a4&pid=1-s2.0-S2666248522000014-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42906498","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}

引用次数: 7

The Battery Component Readiness Level (BC-RL) framework: A technology-specific development framework 电池组件准备水平(BC-RL)框架:一个特定于技术的开发框架

IF 4.5

Journal of Power Sources Advances Pub Date : 2022-03-01 DOI: 10.1016/j.powera.2022.100089

Matthew Greenwood , Jens Matthies Wrogemann , Richard Schmuch , Hwamyung Jang , Martin Winter , Jens Leker

{"title":"The Battery Component Readiness Level (BC-RL) framework: A technology-specific development framework","authors":"Matthew Greenwood , Jens Matthies Wrogemann , Richard Schmuch , Hwamyung Jang , Martin Winter , Jens Leker","doi":"10.1016/j.powera.2022.100089","DOIUrl":"https://doi.org/10.1016/j.powera.2022.100089","url":null,"abstract":"<div><p>Government investment constitutes a large portion of overall investment in research and development of lithium-ion batteries (LIBs) and other future battery technologies with the goal of electrifying the transportation sector and so removing a major source of global greenhouse gas emissions. Poor investments, however, can result in taxpayer funding losses and political backlash, making clear communication and informed decision-making critical. This manuscript presents the Battery Component Readiness Level scale, an overhauled version of the Technology Readiness Level (TRL) scale currently utilized by the EU for innovation programs that has been customized for use in battery technology development. It retains the structure of the EU TRL scale while adding in-depth description of technology-specific development as well as discussion of aspects such as manufacturability and cost that are necessary to understand technological promise and risk. Its use by the EU and other parties involved in battery development can thus improve communication between all involved sectors, from government to academia to industry, and can aid in better-informed decision-making regarding investments. This can ultimately contribute to a more efficient electrification of the transportation sector and any other sectors where batteries display transformative potential.</p></div>","PeriodicalId":34318,"journal":{"name":"Journal of Power Sources Advances","volume":"14 ","pages":"Article 100089"},"PeriodicalIF":4.5,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666248522000075/pdfft?md5=76a009b8c01d4078833799abdb216fba&pid=1-s2.0-S2666248522000075-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"137081399","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}

引用次数: 0

3D generation and reconstruction of the fuel cell catalyst layer using 2D images based on deep learning 基于深度学习的二维图像燃料电池催化剂层的三维生成与重建

IF 4.5

Journal of Power Sources Advances Pub Date : 2022-03-01 DOI: 10.1016/j.powera.2022.100084

Xuanchen Liu , Kayoung Park , Magnus So , Shota Ishikawa , Takeshi Terao , Kazuhiko Shinohara , Chiyuri Komori , Naoki Kimura , Gen Inoue , Yoshifumi Tsuge

{"title":"3D generation and reconstruction of the fuel cell catalyst layer using 2D images based on deep learning","authors":"Xuanchen Liu , Kayoung Park , Magnus So , Shota Ishikawa , Takeshi Terao , Kazuhiko Shinohara , Chiyuri Komori , Naoki Kimura , Gen Inoue , Yoshifumi Tsuge","doi":"10.1016/j.powera.2022.100084","DOIUrl":"10.1016/j.powera.2022.100084","url":null,"abstract":"<div><p>The catalyst layer (CL) being the site of electrochemical reactions, is the core subunit of the membrane electrode assembly (MEA) in polymer electrolyte fuel cells (PEFCs). Thus, the porous structure of the CL has a significant influence on oxygen transfer resistance and affects the charge/discharge performance. In this study, the three-dimensional (3D) porous structure of the catalyst layer is reconstructed based on the deep convolutional generative adversarial network (DCGAN) deep learning method, utilizing focused ion beam scanning electron microscopy (FIB-SEM) microstructure graphs as training data. Each set of spatial-continuous microstructure graphs, generated by DCGAN with interpolation in latent space, is applied to build a unique 3D microstructure of the CL without the use of real FIB-SEM data. Meanwhile, distinct interpolation conditions in the DCGAN are discussed to optimize the ultimate structure by approaching the structural information to real data, including that of porosity, particle size distribution, and tortuosity. Moreover, the comparison of real and generated structural data reveal that the data generated by DCGAN shows an adjacency relationship with real data, indicating its potential applicability in the field of electrochemical simulation with reduced situational costs.</p></div>","PeriodicalId":34318,"journal":{"name":"Journal of Power Sources Advances","volume":"14 ","pages":"Article 100084"},"PeriodicalIF":4.5,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666248522000026/pdfft?md5=1f471bd1216a9bffc544d14f1103c35a&pid=1-s2.0-S2666248522000026-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47681258","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}

引用次数: 2