Skip to main navigation Skip to search Skip to main content

Informatics for combinatorial experiments: Accelerating data interpretation

  • M. Stukowski
  • , C. Suh
  • , K. Rajan
  • , P. D. Tall
  • , A. C. Beye
  • , A. G. Ramirez
  • , W. O. Soboyejo
  • , M. L. Benson
  • , P. K. Liaw
  • Iowa State University
  • Université Cheikh Anta Diop de Dakar
  • Princeton University
  • Yale University
  • University of Tennessee

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

Combinatorial experiments provide a means of generating large amounts of experimental data; however that does not necessarily lead to high throughput interpretation of that data. In this paper we provide a brief summary of how one can use informatics techniques to accelerate data interpretation from high throughput experiments. We provide examples from high throughput nanoindentation and diffraction experiments.

Original languageEnglish
Title of host publicationMaterials Research Society Symposium Proceedings
Pages301-306
Number of pages6
StatePublished - 2006
EventCombinatorial Methods and Informatics in Materials Science - Boston, MA, United States
Duration: Nov 28 2005Dec 1 2005

Publication series

NameMaterials Research Society Symposium Proceedings
Volume894
ISSN (Print)0272-9172

Conference

ConferenceCombinatorial Methods and Informatics in Materials Science
Country/TerritoryUnited States
CityBoston, MA
Period11/28/0512/1/05

Fingerprint

Dive into the research topics of 'Informatics for combinatorial experiments: Accelerating data interpretation'. Together they form a unique fingerprint.

Cite this