Current Opinion in Solid State & Materials Science最新文献_第6页

Amorphous oxide semiconductors: From fundamental properties to practical applications 非晶氧化物半导体：从基本特性到实际应用

IF 11 2区材料科学

Current Opinion in Solid State & Materials Science Pub Date : 2023-08-01 DOI: 10.1016/j.cossms.2023.101092

Bojing Lu , Fei Zhuge , Yi Zhao , Yu-Jia Zeng , Liqiang Zhang , Jingyun Huang , Zhizhen Ye , Jianguo Lu

{"title":"Amorphous oxide semiconductors: From fundamental properties to practical applications","authors":"Bojing Lu , Fei Zhuge , Yi Zhao , Yu-Jia Zeng , Liqiang Zhang , Jingyun Huang , Zhizhen Ye , Jianguo Lu","doi":"10.1016/j.cossms.2023.101092","DOIUrl":"https://doi.org/10.1016/j.cossms.2023.101092","url":null,"abstract":"<div><p>Amorphous oxide semiconductors (AOSs) have exceptional features of high visible transparency, high carrier mobility, excellent uniformity, and low-temperature growth process, making them promising in the electronic and information industry. InGaZnO is the most widely studied AOS and has been applied in commercial, which, however, contains rare and precious indium. For sustainable development, a diversity of In-free AOSs have been designed and proposed, which are attracted more and more attention. There have been several reviews on AOSs mainly centred on InGaZnO; in contrast, the review on In-free AOSs is not available at present. In this work, we provide a comprehensive review on In-free AOSs from fundamental properties to practical applications. Various In-free AOSs available in literatures are introduced, with the focus on ZnSnO-based AOSs. Thin-film transistors (TFTs) based on In-free AOSs are investigated in detail, which are the key device for next-generation transparent and flexible displays. Also, the applications in transparent electrodes, sensors, memristors, synaptic devices, and circuits are introduced. This review is expected to provide a guide to well understand the state-of-the-art principles, materials, devices, fabrication, applications, and perspectives of In-free AOSs.</p></div>","PeriodicalId":295,"journal":{"name":"Current Opinion in Solid State & Materials Science","volume":"27 4","pages":"Article 101092"},"PeriodicalIF":11.0,"publicationDate":"2023-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72248410","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Recent advances in describing and driving crystal nucleation using machine learning and artificial intelligence 利用机器学习和人工智能描述和驱动晶体成核的最新进展

IF 11 2区材料科学

Current Opinion in Solid State & Materials Science Pub Date : 2023-08-01 DOI: 10.1016/j.cossms.2023.101093

Eric R. Beyerle , Ziyue Zou , Pratyush Tiwary

引用次数: 1

Nanoindentation in more than one dimension – Experimental challenges and opportunities 纳米压痕在多个维度-实验的挑战和机遇

IF 11 2区材料科学

Current Opinion in Solid State & Materials Science Pub Date : 2023-08-01 DOI: 10.1016/j.cossms.2023.101100

John B. Pethica

引用次数: 1

Machine learning aided nanoindentation: A review of the current state and future perspectives 机器学习辅助纳米压痕:现状和未来展望的回顾

IF 11 2区材料科学

Current Opinion in Solid State & Materials Science Pub Date : 2023-08-01 DOI: 10.1016/j.cossms.2023.101091

Eli Saùl Puchi-Cabrera , Edoardo Rossi , Giuseppe Sansonetti , Marco Sebastiani , Edoardo Bemporad

{"title":"Machine learning aided nanoindentation: A review of the current state and future perspectives","authors":"Eli Saùl Puchi-Cabrera , Edoardo Rossi , Giuseppe Sansonetti , Marco Sebastiani , Edoardo Bemporad","doi":"10.1016/j.cossms.2023.101091","DOIUrl":"https://doi.org/10.1016/j.cossms.2023.101091","url":null,"abstract":"<div><p>The solution of instrumented indentation inverse problems by physically-based models still represents a complex challenge yet to be solved in metallurgy and materials science. In recent years, Machine Learning (ML) tools have emerged as a feasible and more efficient alternative to extract complex microstructure-property correlations from instrumented indentation data in advanced materials. On this basis, the main objective of this review article is to summarize the extent to which different ML tools have been recently employed in the analysis of both numerical and experimental data obtained by instrumented indentation testing, either using spherical or sharp indenters, particularly by nanoindentation. Also, the impact of using ML could have in better understanding the microstructure-mechanical properties-performance relationships of a wide range of materials tested at this length scale has been addressed.</p><p>The analysis of the recent literature indicates that a combination of advanced nanomechanical/microstructural characterization with finite element simulation and different ML algorithms constitutes a powerful tool to bring ground-breaking innovation in materials science. These research means can be employed not only for extracting mechanical properties of both homogeneous and heterogeneous materials at multiple length scales, but also could assist in understanding how these properties change with the compositional and microstructural in-service modifications. Furthermore, they can be used for design and synthesis of novel multi-phase materials.</p></div>","PeriodicalId":295,"journal":{"name":"Current Opinion in Solid State & Materials Science","volume":"27 4","pages":"Article 101091"},"PeriodicalIF":11.0,"publicationDate":"2023-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"1751244","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 5

Advances and opportunities in high-throughput small-scale mechanical testing 高通量小规模机械测试的进展与机遇

IF 11 2区材料科学

Current Opinion in Solid State & Materials Science Pub Date : 2023-08-01 DOI: 10.1016/j.cossms.2023.101090

Daniel S. Gianola , Nicolò Maria della Ventura , Glenn H. Balbus , Patrick Ziemke , McLean P. Echlin , Matthew R. Begley

{"title":"Advances and opportunities in high-throughput small-scale mechanical testing","authors":"Daniel S. Gianola , Nicolò Maria della Ventura , Glenn H. Balbus , Patrick Ziemke , McLean P. Echlin , Matthew R. Begley","doi":"10.1016/j.cossms.2023.101090","DOIUrl":"https://doi.org/10.1016/j.cossms.2023.101090","url":null,"abstract":"<div><p>The quest for novel materials used in technologies demanding extreme performance has been accelerated by advances in computational materials screening, additive manufacturing routes, and characterization probes. Despite tremendous progress, the pace of adoption of new materials has still not met the promise of global initiatives in materials discovery. This challenge is particularly acute for structural materials with thermomechanical and environmental demands whose performance depends on microstructure as well as material composition. In this prospective article, we review advances in high-throughput mechanical testing, and the associated specimen fabrication, materials characterization, and modeling tasks that show promise for acceleration of the materials development cycle. We identify a critical need to develop rapid testing and characterization strategies that faithfully reproduce design-relevant properties and circumvent the time and expense of conventional high fidelity testing. We identify small-scale mechanical testing workflows that can incorporate real-time decision making based on feedback from multimodal characterization and computational modeling. These workflows will require site-specific specimen fabrication procedures that are agnostic to the synthesis route and have the ability to modulate microstructure and defect characteristics. We close our review by conceptualizing a fully integrated high-throughput testing platform that addresses the speed-fidelity tradeoff in pursuit of a design-relevant suite of properties for new materials.</p></div>","PeriodicalId":295,"journal":{"name":"Current Opinion in Solid State & Materials Science","volume":"27 4","pages":"Article 101090"},"PeriodicalIF":11.0,"publicationDate":"2023-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"1692091","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Recent research progress of alloy-containing lithium anodes in lithium-metal batteries 锂金属电池含合金锂阳极研究进展

IF 11 2区材料科学

Current Opinion in Solid State & Materials Science Pub Date : 2023-06-01 DOI: 10.1016/j.cossms.2023.101079

Mengqi Zhu, Xufeng Zhao, Rongzhi Yan, Jindan Zhang

{"title":"Recent research progress of alloy-containing lithium anodes in lithium-metal batteries","authors":"Mengqi Zhu, Xufeng Zhao, Rongzhi Yan, Jindan Zhang","doi":"10.1016/j.cossms.2023.101079","DOIUrl":"https://doi.org/10.1016/j.cossms.2023.101079","url":null,"abstract":"<div><p><span>Lithium metal is regarded as one of the most ideal anode materials for next-generation batteries, due to its high theoretical capacity of 3860 mAh g</span><sup>−1</sup><span><span> and low redox potential (−3.04 V vs standard hydrogen electrode). However, practical applications of lithium anodes are impeded by the uncontrollable growth of lithium dendrite and continuous reactions between lithium and electrolyte during cycling processes. According to reports for decades, artificial </span>solid electrolyte<span><span> interface (SEI), electrolyte additives, and construction of three-dimensional (3D) structures are demonstrated essential strategies. Among numerous approaches, metals that can alloy with lithium have been employed to homogenize lithium deposition and accelerate </span>Li ion transportation, which attract more and more attention. This review aims to summarize the lithium alloying applied in lithium anodes including the fabricating approaches of alloy-containing lithium anodes, and the action mechanism and challenges of fabricated lithium anodes. Based on summarizing the literature, shortcomings and challenges as well as the prospects are also analyzed, to impel further research of lithium anodes and lithium-based batteries.</span></span></p></div>","PeriodicalId":295,"journal":{"name":"Current Opinion in Solid State & Materials Science","volume":"27 3","pages":"Article 101079"},"PeriodicalIF":11.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"1819332","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4

Understanding how bacterial collectives organize on surfaces by tracking surfactant flow 通过跟踪表面活性剂的流动，了解细菌如何在表面上聚集

IF 11 2区材料科学

Current Opinion in Solid State & Materials Science Pub Date : 2023-06-01 DOI: 10.1016/j.cossms.2023.101080

Summer Kasallis , Jean-Louis Bru , Rendell Chang , Quantum Zhuo , Albert Siryaporn

{"title":"Understanding how bacterial collectives organize on surfaces by tracking surfactant flow","authors":"Summer Kasallis , Jean-Louis Bru , Rendell Chang , Quantum Zhuo , Albert Siryaporn","doi":"10.1016/j.cossms.2023.101080","DOIUrl":"https://doi.org/10.1016/j.cossms.2023.101080","url":null,"abstract":"<div><p>Swarming is a collective bacterial behavior in which a dense population of bacterial cells moves over a porous surface, resulting in the expansion of the population. This collective behavior can guide bacteria away from potential stressors such as antibiotics and bacterial viruses. However, the mechanisms responsible for the organization of swarms are not understood. Here, we briefly review models that are based on bacterial sensing and fluid mechanics that are proposed to guide swarming in the pathogenic bacterium <em>Pseudomonas aeruginosa</em>. To provide further insight into the role of fluid mechanics in <em>P. aeruginosa</em> swarms, we track the movement of tendrils and the flow of surfactant using a novel technique that we have developed, Imaging of Reflected Illuminated Structures (IRIS). Our measurements show that tendrils and surfactants form distinct layers that grow in lockstep with each other. The results raise new questions about existing swarming models and the possibility that the flow of surfactants impacts tendril development. These findings emphasize that swarm organization involves an interplay between biological processes and fluid mechanics.</p></div>","PeriodicalId":295,"journal":{"name":"Current Opinion in Solid State & Materials Science","volume":"27 3","pages":"Article 101080"},"PeriodicalIF":11.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10327653/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"3136112","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Liquid crystalline elastomer actuators with dynamic covalent bonding: Synthesis, alignment, reprogrammability, and self-healing 具有动态共价键的液晶弹性体致动器:合成、排列、可编程性和自我修复

IF 11 2区材料科学

Current Opinion in Solid State & Materials Science Pub Date : 2023-06-01 DOI: 10.1016/j.cossms.2023.101076

Gautam Das, Soo-Young Park

引用次数: 4

The Gibson-Ashby model for additively manufactured metal lattice materials: Its theoretical basis, limitations and new insights from remedies 增材制造金属晶格材料的Gibson-Ashby模型:理论基础、局限性和补救的新见解

IF 11 2区材料科学

Current Opinion in Solid State & Materials Science Pub Date : 2023-06-01 DOI: 10.1016/j.cossms.2023.101081

Haozhang Zhong , Tingting Song , Chuanwei Li , Raj Das , Jianfeng Gu , Ma Qian

{"title":"The Gibson-Ashby model for additively manufactured metal lattice materials: Its theoretical basis, limitations and new insights from remedies","authors":"Haozhang Zhong , Tingting Song , Chuanwei Li , Raj Das , Jianfeng Gu , Ma Qian","doi":"10.1016/j.cossms.2023.101081","DOIUrl":"https://doi.org/10.1016/j.cossms.2023.101081","url":null,"abstract":"<div><p>The Gibson-Ashby (G-A) model has been instrumental in the design of additively manufactured (AM-ed) metal lattice materials or mechanical metamaterials. The first part of this work reviews the proposition and formulation of the G-A model and emphasizes that the G-A model is only applicable to low-density lattice materials with strut length-to-diameter ratios greater than 5. The second part evaluates the applicability of the G-A model to AM-ed metal lattice materials and reveals the fundamental disconnections between them. The third part assesses the deformation mechanisms of AM-ed metal lattices in relation to their strut length-to-diameter ratios and identifies that AM-ed metal lattices deform by concurrent bending, stretching, and shear, rather than just stretching or bending considered by the G-A model. Consequently, mechanical property models coupling stretching, bending and shear deformation mechanisms are developed for various lattice materials, which show high congruence with experimental data. The last part discusses new insights obtained from these remedies into the design of strong and stiff metal lattices. In particular, we recommend that the use of inclined struts be avoided.</p></div>","PeriodicalId":295,"journal":{"name":"Current Opinion in Solid State & Materials Science","volume":"27 3","pages":"Article 101081"},"PeriodicalIF":11.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"3450164","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 8

Rational design of high-entropy ceramics based on machine learning – A critical review 基于机器学习的高熵陶瓷的合理设计综述

IF 11 2区材料科学

Current Opinion in Solid State & Materials Science Pub Date : 2023-04-01 DOI: 10.1016/j.cossms.2023.101057

Jun Zhang , Xuepeng Xiang , Biao Xu , Shasha Huang , Yaoxu Xiong , Shihua Ma , Haijun Fu , Yi Ma , Hongyu Chen , Zhenggang Wu , Shijun Zhao

{"title":"Rational design of high-entropy ceramics based on machine learning – A critical review","authors":"Jun Zhang , Xuepeng Xiang , Biao Xu , Shasha Huang , Yaoxu Xiong , Shihua Ma , Haijun Fu , Yi Ma , Hongyu Chen , Zhenggang Wu , Shijun Zhao","doi":"10.1016/j.cossms.2023.101057","DOIUrl":"https://doi.org/10.1016/j.cossms.2023.101057","url":null,"abstract":"<div><p>High-entropy materials provide a versatile platform for the rational design of novel candidates with exotic performances. Recently, it has been demonstrated that high-entropy ceramics (HECs), depending on their compositions, show great application potential because of their superior structural and functional properties. However, the immense phase space behind HECs significantly hinders the efficient design and exploitation of high-performance HECs through traditional trial-and-error experiments and expensive <em>ab-initio</em> calculations. Machine learning (ML), on the other hand, has become a popular approach to accelerate the discovery of HECs and screen HECs with exceptional properties. In this article, we review the recent progress of ML applications in discovering and designing novel HECs, including carbides, nitrides, borides, and oxides. We thoroughly discuss different ingredients that are involved in ML applications in HECs, including data collection, feature engineering, model refinement, and prediction performance improvement. We finally provide an outlook on the challenges and development directions of future ML models for HEC predictions.</p></div>","PeriodicalId":295,"journal":{"name":"Current Opinion in Solid State & Materials Science","volume":"27 2","pages":"Article 101057"},"PeriodicalIF":11.0,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"1751247","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 5