Descriptors for High Throughput in Structural Materials Development.

Q2 Biochemistry, Genetics and Molecular Biology
High-Throughput Pub Date : 2019-12-05 DOI:10.3390/ht8040022
Matthias Steinbacher, Gabriela Alexe, Michael Baune, Ilya Bobrov, Ingmar Bösing, Brigitte Clausen, Tobias Czotscher, Jérémy Epp, Andreas Fischer, Lasse Langstädtler, Daniel Meyer, Sachin Raj Menon, Oltmann Riemer, Heike Sonnenberg, Arne Thomann, Anastasiya Toenjes, Frank Vollertsen, Nicole Wielki, Nils Ellendt
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引用次数: 0

Abstract

The development of novel structural materials with increasing mechanical requirements is a very resource-intense process if conventional methods are used. While there are high-throughput methods for the development of functional materials, this is not the case for structural materials. Their mechanical properties are determined by their microstructure, so that increased sample volumes are needed. Furthermore, new short-time characterization techniques are required for individual samples which do not necessarily measure the desired material properties, but descriptors which can later be mapped on material properties. While universal micro-hardness testing is being commonly used, it is limited in its capability to measure sample volumes which contain a characteristic microstructure. We propose to use alternative and fast deformation techniques for spherical micro-samples in combination with classical characterization techniques such as XRD, DSC or micro magnetic methods, which deliver descriptors for the microstructural state.

结构材料开发中的高通量描述符
如果使用传统方法,开发机械要求不断提高的新型结构材料是一个非常耗费资源的过程。虽然功能材料的开发有高通量的方法,但结构材料的情况并非如此。它们的机械性能由其微观结构决定,因此需要增加样品体积。此外,对于不一定测量所需材料性质,而是可以稍后映射到材料性质上的描述符的单个样品,需要新的短时表征技术。虽然普遍使用通用显微硬度测试,但其测量包含特征微观结构的样品体积的能力有限。我们建议将球形微样品的替代和快速变形技术与XRD、DSC或微磁方法等经典表征技术相结合,以提供微观结构状态的描述符。
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来源期刊
High-Throughput
High-Throughput Biochemistry, Genetics and Molecular Biology-Biotechnology
CiteScore
3.60
自引率
0.00%
发文量
0
审稿时长
9 weeks
期刊介绍: High-Throughput (formerly Microarrays, ISSN 2076-3905) is a multidisciplinary peer-reviewed scientific journal that provides an advanced forum for the publication of studies reporting high-dimensional approaches and developments in Life Sciences, Chemistry and related fields. Our aim is to encourage scientists to publish their experimental and theoretical results based on high-throughput techniques as well as computational and statistical tools for data analysis and interpretation. The full experimental or methodological details must be provided so that the results can be reproduced. There is no restriction on the length of the papers. High-Throughput invites submissions covering several topics, including, but not limited to: -Microarrays -DNA Sequencing -RNA Sequencing -Protein Identification and Quantification -Cell-based Approaches -Omics Technologies -Imaging -Bioinformatics -Computational Biology/Chemistry -Statistics -Integrative Omics -Drug Discovery and Development -Microfluidics -Lab-on-a-chip -Data Mining -Databases -Multiplex Assays
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