, Volume 60, Issue 3, pp 60–66 | Cite as

Scaling laws as a tool of materials informatics

  • Patricio F. MendezEmail author
  • Reinhard Furrer
  • Ryan Ford
  • Fernando Ordóñez
Overview Materials Informatics 2008


This paper discusses the utility of scaling laws to materials informatics and presents the algorithm Scaling LAW (SLAW), useful to obtain scaling laws from statistical data. These laws can be used to extrapolate known materials property data to untested materials by using other more readily available information. This technique is independent of a characteristic length or time scale, so it is useful for a broad diversity of problems. In some cases, SLAW can reproduce the mathematical expression that would have been obtained through an analytical treatment of the problem. This technique was originally designed for mining statistical data in materials processing and materials behavior at a system level, and it shows promise for the study of the relationship between structure and properties in materials.


Dimensional Analysis Problem Parameter Numerical Constant Dimensionless Group Partial Similarity 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© TMS 2008

Authors and Affiliations

  • Patricio F. Mendez
    • 1
    Email author
  • Reinhard Furrer
    • 2
  • Ryan Ford
    • 2
  • Fernando Ordóñez
    • 3
  1. 1.Department of Metallurgical and Materials EngineeringColorado School of MinesGoldenUSA
  2. 2.Departments of Mathematics and Computer ScienceColorado School of MinesGoldenUSA
  3. 3.Department of Industrial and Systems EngineeringUniversity of Southern CaliforniaLos AngelesUSA

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