Abstract
Materials integration (MI) is an approach that links the four elements of materials, Processing, Structure, Properties and Performance, on a computer by integrating experiments, calculations, theory and data science. MI is a data-driven type of materials development, in which all calculations from the initial inputs of materials, processing and use conditions, to the final output, i.e., the performance (life prediction, failure probability, etc.) of the member of interest, are performed instantly and in an integrated manner by connecting multiple computational modules so that the output of one module becomes the input of the next module, and automating the exchange of that data, to realize substantial reductions in the cost and time required for materials development. Although the term “materials informatics” is sometimes used as a synonym for “materials integration,” much of the research classified as materials informatics gives the impression of a search for materials focused on their structures and properties. However, in materials integration, treatment that links the four above-mentioned elements of materials is essential. The technical overview of materials integration and efforts related to MI in the Project are described in detail in Chap. 3.
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Enoki, M., Horiya, T. (2023). Materials Integration—Data-Driven Approach to Materials Design Using Simulation and Database. In: Kishi, T. (eds) Innovative Structural Materials. Springer Series in Materials Science, vol 336. Springer, Singapore. https://doi.org/10.1007/978-981-99-3522-2_3
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DOI: https://doi.org/10.1007/978-981-99-3522-2_3
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