Progress in Materials Science最新文献

{"title":"Towards preferential lithium recovery from spent lithium-ion batteries: phase transition mechanisms, technical innovation and future perspectives","authors":"Mengyu Lin ,&nbsp;Yongqiang Chen ,&nbsp;Chengyan Wang ,&nbsp;Shengming Xu ,&nbsp;Jialiang Zhang","doi":"10.1016/j.pmatsci.2025.101557","DOIUrl":"10.1016/j.pmatsci.2025.101557","url":null,"abstract":"<div><div>Lithium is an indispensable element for the sustainable development of the new energy industry. However, the strong market demand for LIBs has led to a shortage of lithium resources. Recycling lithium from spent LIBs is an effective approach to alleviate the lithium shortage. However, LIBs are all artificially synthesized complex materials, and phase transition is an indispensable pathway to extract lithium selectively and efficiently. The phase transition methods can be divided into two types: lithium selective leaching in the liquid phase and lithium preferential extraction in the solid phase. This review systematically summarizes the available methods for selective lithium recovery and analyzes the phase transition mechanism from a thermodynamic perspective. The environmental impact and economic benefits analysis were presented for selective lithium extraction methods in liquid phase systems. Innovatively, the “reactivity-selectivity principle” was first employed to evaluate the main solid phase transition methods, indicating the importance of phase transition control for higher lithium recovery efficiency and selectivity. Finally, the prospects of lithium recycling development were outlined from four dimensions of technological innovation, entire-process optimization, economical efficiency and environmental friendliness. This review aims to provide references and enlightenment for the efficient recycling of spent LIBs from the perspective of phase transition and assist in the healthy and long-term development of new energy industry.</div></div>","PeriodicalId":411,"journal":{"name":"Progress in Materials Science","volume":"156 ","pages":"Article 101557"},"PeriodicalIF":40.0,"publicationDate":"2025-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144916650","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Machine learning enhanced atom probe tomography analysis","authors":"Yue Li ,&nbsp;Ye Wei ,&nbsp;Alaukik Saxena ,&nbsp;Markus Kühbach ,&nbsp;Christoph Freysoldt ,&nbsp;Baptiste Gault","doi":"10.1016/j.pmatsci.2025.101561","DOIUrl":"10.1016/j.pmatsci.2025.101561","url":null,"abstract":"<div><div>Atom probe tomography (APT) is a burgeoning characterization technique that provides compositional mapping of materials in three-dimensions at near-atomic scale. Since its significant expansion in the past 30 years, we estimate that one million APT datasets have been collected, each containing millions to billions of individual ions. Their analysis and the extraction of microstructural information has largely relied upon individual users whose varied level of expertise causes clear and documented bias. Current practices hinder efficient data processing, and make challenging standardization and the deployment of data analysis workflows that would be compliant with the Findable, Accessible, Interoperable, and Reusable (FAIR) data principles. Over the past decade, building upon the long-standing expertise of the APT community in the development of advanced data processing or “data mining” techniques, there has been a surge of novel machine learning (ML) approaches aiming for user-independence, and that are efficient, reproducible, and robust from a statistics perspective. Here, we provide a snapshot review of this rapidly evolving field. We begin with a brief introduction to APT and the nature of the APT data. This is followed by an overview of relevant ML algorithms and a comprehensive review of their applications to APT. We also discuss how ML can enable discoveries beyond human capability, offering new insights into the mechanisms within materials. Finally, we provide guidance for future directions in this domain.</div></div>","PeriodicalId":411,"journal":{"name":"Progress in Materials Science","volume":"156 ","pages":"Article 101561"},"PeriodicalIF":40.0,"publicationDate":"2025-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144890097","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Recent progress in all-perovskite tandem solar cells and modules: redefining limits","authors":"Prashant Kumar ,&nbsp;Gyanendra Shankar ,&nbsp;Anshu Kumar ,&nbsp;Adel Najar ,&nbsp;Basudev Pradhan","doi":"10.1016/j.pmatsci.2025.101560","DOIUrl":"10.1016/j.pmatsci.2025.101560","url":null,"abstract":"<div><div>All-perovskite tandem solar cells (APTSCs) are garnering considerable attention as efficiencies of single-junction solar cells approach the Shockley–Queisser limit. The operation of APTSCs relies on the coordinated performance of the top and bottom cells, which together offer an optimal balance between cost-effectiveness and power output. Despite their promising architecture, the performance of APTSCs remains constrained by several intrinsic and extrinsic factors such as grain boundaries, bulk and interfacial defects, along with crystallization challenges. Nonetheless, the implementation of mitigation strategies enables effective resolution of these challenges, thereby enhancing the adaptability and performance potential of APTSCs. This review systematically examines the individual components, besides whole architectures of 2T and 4T of APTSCs, along with their recent advancements. It highlights a range of performance enhancement strategies, including the optimization of interconnecting layers, the integration of light-trapping mechanisms, and the incorporation of quasi-2D perovskites. The discussion further extends to the fabrication of large-area devices, a critical step toward commercial scalability. Finally, the review outlines current challenges and proposes future research directions aimed at improving efficiency, stability, and manufacturability. This review outlines a comprehensive roadmap integrating innovative design strategies, advanced simulation methodologies—including finite element method and density functional theory—and state-of-the-art characterization techniques to accelerate the development of next-generation, high-performance all-perovskite tandem solar cells.</div></div>","PeriodicalId":411,"journal":{"name":"Progress in Materials Science","volume":"156 ","pages":"Article 101560"},"PeriodicalIF":40.0,"publicationDate":"2025-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144925101","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Ultra-high temperature piezoelectric crystals: Properties, structures and applications","authors":"Weisan Fang ,&nbsp;Xiaoniu Tu ,&nbsp;Huajie Luo ,&nbsp;He Qi ,&nbsp;Hua Tan ,&nbsp;Haibo Zhang ,&nbsp;Jun Chen","doi":"10.1016/j.pmatsci.2025.101556","DOIUrl":"10.1016/j.pmatsci.2025.101556","url":null,"abstract":"<div><div>Piezoelectric single crystals with high melting points are crucial for ultra-high temperature sensing applications, such as structural health monitoring and non-destructive testing of special equipment. Despite significant progress in recent years, a systematic and comprehensive review of high-temperature piezoelectric crystals has yet to be conducted. In this review, we delve into the crystal growth, electrical properties, crystal structures, and practical applications, including the representative rare-earth calcium oxyborate crystals [ReCaO(BO₃)₃, ReCOB, Re: rare earth], langasite-type crystals (La₃Ga₅SiO₁₄, LGS; La₃Ta_0.5Ga_5.5O₁₄, LTG, <em>etc</em>.), along with several single crystals (Ba₂TiSi₂O₈, AlN, Ca₂Al₂SiO₇, <em>etc.</em>). In particular, the temperature dependence of electrical resistivity, dielectric, piezoelectric, elastic, and electromechanical properties are reviewed. The piezoelectric crosstalk and the impact of crystal cuts on electrical properties are discussed. Moreover, the origin of the relationship between order–disorder structures and properties of piezoelectric single crystals, as well as the conductivity mechanism, are clarified using theoretical calculations. The behaviours of these crystals in extreme conditions sensing applications are summarized, such as surface acoustic wave (SAW) sensors, vibrational sensors, acoustic emission (AE) sensors, pressure sensors, suggesting innovative design strategies for sensors with high sensitivity and performance robustness.</div></div>","PeriodicalId":411,"journal":{"name":"Progress in Materials Science","volume":"156 ","pages":"Article 101556"},"PeriodicalIF":40.0,"publicationDate":"2025-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144890096","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Recent progress in metal chalcogenide-MXene and MOF-derived composites for supercapacitors: synthesis, challenges, and future solutions","authors":"Avinash C. Mendhe ,&nbsp;Swathi Lekshmi ,&nbsp;Neha S. Barse ,&nbsp;Iftikhar Hussain ,&nbsp;Minjae Kim ,&nbsp;Satish B. Jadhav ,&nbsp;Haigun Lee","doi":"10.1016/j.pmatsci.2025.101558","DOIUrl":"10.1016/j.pmatsci.2025.101558","url":null,"abstract":"<div><div>Metal chalcogenide-based electrode materials have gained a substantial attention as high-performance electrode alternative for supercapacitors owing to their tunable redox characteristics, high electrical conductivity, and enrich electrochemical activity. Recent advancements in composite materials, especially the integration of metal chalcogenides with MXenes and metal organic framework (MOF)-derived structures have unlocked innovative paths for surpassing inherent challenges such as poor cycling stability, accumulation, and low surface area. This review article delivers an inclusive summary of the synthesis strategies employed for evolving these hybrid composites electrodes, including hydrothermal, chemical bath deposition, and in situ growth techniques. The synergistic integration of MXenes, recognized for their excellent electrical conductivity and mechanical strength, with metal chalcogenides improves electron transport and structural stability. Correspondingly, the MOF-derived porous frameworks begin with a high surface area and controlled structure, further enhancing capacitance and ion diffusion. Despite these developments some key challenges remain, such as structural degradation, complex synthesis processes, and meager long-term electrochemical stability. This review also focusses on emerging approaches to resolve these challenges, such as defect engineering, heteroatom doping, and surface functionalization. Conclusively, the future perspectives are anticipated for scalable fabrication, flexible device integration, and performance optimization, pointing toward the next generation of high-energy–density supercapacitor systems.</div></div>","PeriodicalId":411,"journal":{"name":"Progress in Materials Science","volume":"156 ","pages":"Article 101558"},"PeriodicalIF":40.0,"publicationDate":"2025-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144857930","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Regenerated cellulose fibres and their composites: From fundamental properties to advanced applications","authors":"Tim Huber ,&nbsp;Nina Graupner ,&nbsp;Jörg Müssig","doi":"10.1016/j.pmatsci.2025.101547","DOIUrl":"10.1016/j.pmatsci.2025.101547","url":null,"abstract":"<div><div>Despite their good mechanical properties, especially their toughness, there are hardly any industrial applications for regenerated cellulose fibre-reinforced composites (RCFCs) apart from the classic elastomer applications in the automotive sector (tyres and hoses). The present review demonstrates that although there is some research work dealing with RCFCs, the amount of data is considered to be rather low compared to, e.g., natural fibre-reinforced composites. This review paper provides an overview of different regenerated cellulose fibres (RCFs) and their areas of application, as well as the processing of RCFs into RCFCs. It shows a comprehensive comparison of the mechanical properties of different fibre types and semi-finished products in various polymer matrices, an assessment of biodegradation and durability, and an overview of applications. RCFCs demonstrate significant potential for lightweight construction of composite materials, particularly in applications involving surface loads under bending and high toughness, due to their low density and environmental benefits compared to, e.g., glass fibres. However, further optimisation of stiffness and tensile strength is required to enhance their competitiveness for highly stressed composite materials, while increased attention to material perception is essential for successful product development and market adoption. Further research should be focused on standardising processing methods and achievable properties to transfer the technology to advanced industrial applications.</div></div>","PeriodicalId":411,"journal":{"name":"Progress in Materials Science","volume":"156 ","pages":"Article 101547"},"PeriodicalIF":40.0,"publicationDate":"2025-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144797513","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Bridging conductivity and stability: challenges and progress in organic ionic-electronic conductors for overcoming Si anodes degradation in high-energy lithium-ion batteries","authors":"Yuanyuan Yu ,&nbsp;Jiadeng Zhu ,&nbsp;Junhua Zhang ,&nbsp;Mengjin Jiang","doi":"10.1016/j.pmatsci.2025.101546","DOIUrl":"10.1016/j.pmatsci.2025.101546","url":null,"abstract":"<div><div>Organic mixed ionic/electronic conductors (OMIECs) have emerged as transformative materials to address the critical challenges of silicon (Si) anodes in high-energy lithium-ion batteries (LIBs). Despite Si’s ultrahigh theoretical capacity (4200 mAh g⁻¹), its practical application is hindered by severe volume expansion (&gt;300 %), unstable solid electrolyte interphase (SEI), and poor intrinsic conductivity, leading to rapid capacity decay and mechanical degradation. This review systematically explores the dual roles of OMIECs as multifunctional binders and protective coatings, leveraging their unique synergy of ionic/electronic conductivity, mechanical elasticity, and interfacial adaptability. As binders, OMIECs establish robust 3D conductive networks to enhance charge transfer kinetics, accommodate volume fluctuations through dynamic covalent/noncovalent interactions, and stabilize electrode integrity via strong adhesion. As coatings, they suppress electrolyte decomposition, regulate homogeneous Li⁺ flux to inhibit dendrite growth, and form hierarchical ion/electron transport pathways to minimize polarization. The review categorizes OMIECs into heterogeneous blends, block copolymers, and homogeneous single-component systems, elucidating their structure–property-performance relationships in Si anodes. Key challenges are critically analyzed, including the doping instability and mechanical brittleness of n-type OMIECs under reducing potentials, as well as air-sensitive doped states complicating characterization. Future research should focus on a comprehensive approach spanning molecular architecture design, aggregation state modulation, morphology design and electrolyte compatibility optimization to stabilize doping performance and enhance mechanical resilience through innovative crosslinking strategies. Additionally, the development of advanced in situ characterization techniques and computational simulation techniques will be crucial for gaining deeper insights into the dynamic behavior of OMIECs during operation. By bridging fundamental material design with practical application insights, this review highlights the transformative potential of OMIECs in advancing next-generation LIBs, offering a roadmap for overcoming Si anode limitations and achieving high-energy–density, long-cycle-life energy storage systems.</div></div>","PeriodicalId":411,"journal":{"name":"Progress in Materials Science","volume":"156 ","pages":"Article 101546"},"PeriodicalIF":40.0,"publicationDate":"2025-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144781193","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Rational design of mechanical bio-metamaterials for biomedical applications","authors":"Haoyu Wang ,&nbsp;Yanshen Yang ,&nbsp;Xiaqing Zhou ,&nbsp;Jin Tian ,&nbsp;Xinci Duan ,&nbsp;Ang Li ,&nbsp;Tian Jian Lu ,&nbsp;Xiaokang Li ,&nbsp;Dandan Pei ,&nbsp;Feng Xu","doi":"10.1016/j.pmatsci.2025.101545","DOIUrl":"10.1016/j.pmatsci.2025.101545","url":null,"abstract":"<div><div>Mechanical bio-metamaterials are an emerging class of engineered structures tailored to meet complex mechanical and biological demands in biomedical engineering. This review adopts a new perspective, moving beyond traditional formula-based approaches to explore design inspirations shaped by bioinspired, stimuli-responsive, and function-driven factors. We introduce a novel classification framework that organizes these metastructures from simple to complex and from static to dynamic, encompassing a broad range of structural designs. This structural-based classification emphasizes that it is the structure, rather than the material composition, that primarily defines the unique mechanical and biological properties of these materials. Furthermore, we discuss the transformative role of Artificial Intelligence in advancing the design of mechanical bio-metamaterials, facilitating forward and inverse design approaches, additive manufacturing, and predictive modeling. By establishing the term “mechanical bio-metamaterials,” this review connects structural design to biomedical applications in four key areas: engineered microenvironments, tissue implants, external devices, and invasive devices. This holistic approach aims to create accessible insights for a diverse audience, bridging engineering and clinical perspectives and illustrating how these metastructures influence cellular, tissue and organ behaviors. Finally, a roadmap outlines future directions, proposing evolutionary pathways for mechanical bio-metamaterials in healthcare. These innovations hold the potential to drive next-generation biomedical applications, offering improved patient outcomes and fostering creative advancements.</div></div>","PeriodicalId":411,"journal":{"name":"Progress in Materials Science","volume":"156 ","pages":"Article 101545"},"PeriodicalIF":40.0,"publicationDate":"2025-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144763675","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Progress in cathode materials for rechargeable Zinc-Ion batteries: from inorganic and organic systems to hybrid frameworks and biomass-derived innovations","authors":"Amjad Ali ,&nbsp;Jamile Mohammadi Moradian ,&nbsp;Ahmad Naveed ,&nbsp;Shu Zhang ,&nbsp;Mudassir Hussain Tahir ,&nbsp;Khurram Shehzad ,&nbsp;Mika Sillanpää","doi":"10.1016/j.pmatsci.2025.101543","DOIUrl":"10.1016/j.pmatsci.2025.101543","url":null,"abstract":"<div><div>Zinc-ion batteries (ZIBs) have gained significant attention as promising candidates for large-scale energy storage systems owing to their low cost, environmental friendliness, and inherent safety, and have become a key focus of both academic research and industrial development strategies. However, significant challenges must be resolved, such as suboptimal charge kinetics, inadequate electrode structural stability, and complicated and costly manufacturing methods, prior to achieving meaningful advancements. Building on this foundation, this review offers a comprehensive overview of electrode materials, beginning with the fundamental factors that influence their electrochemical performance, such as electronic conductivity, ion diffusion pathways, structural stability, redox activity, and surface/interface characteristics. A clear understanding of these parameters is essential for guiding the rational design and optimization of high-performance electrodes for ZIBs. Secondly, we critically assess the current progress, identify persistent limitations, and explore potential strategies to overcome the challenges in achieving long-term cycling stability and fast reaction kinetics. Detailed analyses of structural engineering approaches, electrochemical behavior, and zinc-ion storage mechanisms across diverse material systems are presented to provide deep insights into the design principles driving next-generation AZB development. Finally, we also included a comprehensive outlook on the future development of ZIBs by identifying critical challenges and promising opportunities to drive their rapid progress and extensive practical deployment in the field.</div></div>","PeriodicalId":411,"journal":{"name":"Progress in Materials Science","volume":"156 ","pages":"Article 101543"},"PeriodicalIF":40.0,"publicationDate":"2025-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144756495","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Machine learning in polymer science: A new lens for physical and chemical exploration","authors":"Xiaoqin Cao ,&nbsp;Yongqing Zhang ,&nbsp;Zhenghua Sun ,&nbsp;Hongyao Yin ,&nbsp;Yujun Feng","doi":"10.1016/j.pmatsci.2025.101544","DOIUrl":"10.1016/j.pmatsci.2025.101544","url":null,"abstract":"<div><div>Polymers, as foundational materials in modern industry, face persistent challenges in precision design and performance improvement due to structural intricacy, multifunctionality requirements, and sustainability imperatives. Machine learning (ML) has emerged as a transformative tool for elucidating structure–property correlations and expediting polymer material discovery. This review systematically examines ML applications across three domains: autonomous synthesis via reaction kinetic modeling, cross-scale property prediction linking polymeric configurations to bulk behavior, and sustainability-driven design frameworks. For automation synthesis, ML integrates polymerization kinetics with structure control and polymerization efficiency, enabling closed-loop systems for autonomous process refinement. In performance prediction, ML deciphers hierarchical architectures relationships with thermal resilience, optoelectronic responses, and mechanical robustness, providing physicochemical theory frameworks for tailored material design. Critical analyses address persistent limitations, including data paucity in specialty polymer classes, interpretability deficits in multimodal architectures, and validation gaps between simulation and experiments. By synergizing generative algorithms with high throughput experimentation, this strategy transcends empirical trial-and-error approaches, establishing a computational design paradigm spanning molecular-to-bulk scales. The resultant synergy between computational intelligence and polymer science not only streamlines material discovery cycles but also unlocks sustainable solutions for energy storage, eco-friendly materials, and adaptive smart systems, heralding a new era of data-driven macromolecular engineering.</div></div>","PeriodicalId":411,"journal":{"name":"Progress in Materials Science","volume":"156 ","pages":"Article 101544"},"PeriodicalIF":40.0,"publicationDate":"2025-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144719857","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}