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Material Agnostic Data-Driven Framework to Develop Structure-Property Linkages

  • Dipen Patel
  • Triplicane Parthasarathy
  • Craig PrzybylaEmail author
Chapter
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Abstract

The concept of Integrated Computational Materials Engineering (ICME) is aimed at accelerating the development and insertion of new materials in engineering applications. ICME approach relies on the development and use in design of relationships between processing and structure, and its corresponding property/performance. This poses a constraint on computational speed, which is difficult to achieve without losing the physics. The concept of building data-driven, material agnostic models to describe process-structure-property linkages has the potential to satisfy this need. In recent works, this has been introduced on a wide variety of materials at multiple length scales of interest. We review these developments. More specifically, a review of the fusion of material science and data science is presented. The framework addresses curation of materials’ knowledge from the available datasets in computationally efficient manner to extract and use the processing-structure-property relationships.

Keywords

Machine learning Transverse cracking strength Ceramic matrix composites Composite characterization Fiber spacing n-point statistics Matrix cracking strength Finite element simulation Virtual testing Structure-property relationships 

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Dipen Patel
    • 1
  • Triplicane Parthasarathy
    • 1
  • Craig Przybyla
    • 2
    Email author
  1. 1.UES, IncDaytonUSA
  2. 2.Air Force Research Laboratory/RX, Wright-Patterson Air Force BaseDaytonUSA

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