Materials informatics is a field of study that applies the principles of informatics and data science to materials science and engineering to improve the understanding, use, selection, development, and discovery of materials. The term "materials informatics" is frequently used interchangeably with "data science", "machine learning", and "artificial intelligence" by the community. This is an emerging field, with a goal to achieve high-speed and robust acquisition, management, analysis, and dissemination of diverse materials data with the goal of greatly reducing the time and risk required to develop, produce, and deploy new materials, which generally takes longer than 20 years.
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This field of endeavor is not limited to some traditional understandings of the relationship between materials and information. Some more narrow interpretations include combinatorial chemistry, process modeling, materials databases, materials data management, and product life cycle management. Materials informatics is at the convergence of these concepts, but also transcends them and has the potential to achieve greater insights and deeper understanding by applying lessons learned from data gathered on one type of material to others. By gathering appropriate meta data, the value of each individual data point can be greatly expanded.
^Mulholland, Gregory; Paradiso, Sean (23 March 2016). "Perspective: Materials informatics across the product lifecycle: Selection, manufacturing, and certification". APL Materials. 4 (5): 053207. Bibcode:2016APLM....4e3207M. doi:10.1063/1.4945422.
^Rickman, J.M.; Lookman, T.; Kalinin, S.V. (15 April 2019). "Materials informatics: From the atomic-level to the continuum". Acta Materialia. 168: 473–510. Bibcode:2019AcMat.168..473R. doi:10.1016/j.actamat.2019.01.051. OSTI 1875378. S2CID 127078420.
^Frydrych, K.; Karimi, K.; Pecelerowicz, M.; Alvarez, R.; Dominguez-Gutiérrez, F.J.; Rovaris, F.; Papanikolaou, S. (2 October 2021). "Materials Informatics for Mechanical Deformation: A Review of Applications and Challenges". Materials. 14 (19): 5764. Bibcode:2021Mate...14.5764F. doi:10.3390/ma14195764. PMC 8510221. PMID 34640157.
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