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Materials informatics
DOI:10.1007/s10845-018-1392-0.png)
摘要
En 中文
Materials informatics employs techniques, tools, and theories drawn from the emerging fields of data science, internet, computer science and engineering, and digital technologies to the materials science and engineering to accelerate materials, products and manufacturing innovations. Manufacturing is transforming into shorter design cycles, mass customization, on-demand production, and sustainable products. Additive manufacturing or 3D printing is a popular example of such a trend. However, the success of this manufacturing transformation is critically dependent on the availability of suitable materials and of data on invertible processing-structure-property-performance life cycle linkages of materials. Experience suggests that the material development cycle, i.e. the time to develop and deploy new material, generally exceeds the product design and development cycle. Hence, there is a need to accelerate materials innovation in order to keep up with product and manufacturing innovations. This is a major challenge considering the hundreds of thousands of materials and processes, and the huge amount of data on microstructure, composition, properties, and functional, environmental, and economic performance of materials. Moreover, the data sharing culture among the materials community is sparse. Materials informatics is key to the necessary transformation in product design and manufacturing. Through the association of material and information sciences, the emerging field of materials informatics proposes to computationally mine and analyze large ensembles of experimental and modeling datasets efficiently and cost effectively and to deliver core materials knowledge in user-friendly ways to the designers of materials and products, and to the manufacturers. This paper reviews the various developments in materials informatics and how it facilitates materials innovation by way of specific examples.
Keyword:
Materials informatics
Materials data analytics
Materials modelling
Materials data mining
Materials selection
Materials web platform
Materials 4.0
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期刊
IF:
7.4
论文数:
3.5K
被引数:
1.1W
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引用论文
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Perspective: Materials informatics and big data: Realization of the fourth paradigm of science in materials science透视: 材料信息学与大数据: 第四科学范式在材料科学中的实现
APL MATERIALS
IF4.5
Microstructure-based knowledge systems for capturing process-structure evolution linkages基于微观结构的知识系统,用于捕获过程-结构演化联系
Development of high throughput assays for establishing process-structure-property linkages in multiphase polycrystalline metals: Application to dual-phase steels开发用于在多相多晶金属中建立过程-结构-性能键的高通量测定法: 在双相钢中的应用
ACTA MATERIALIA
IF9.3

