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Applications of high throughput (combinatorial) methodologies to electronic, magnetic, optical, and energy-related materials
Author(s) -
Martin L. Green,
Ichiro Takeuchi,
Jason HattrickSimpers
Publication year - 2013
Publication title -
journal of applied physics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.699
H-Index - 319
eISSN - 1089-7550
pISSN - 0021-8979
DOI - 10.1063/1.4803530
Subject(s) - commercialization , throughput , computer science , combinatorial synthesis , data science , variety (cybernetics) , biochemical engineering , nanotechnology , materials science , engineering , telecommunications , artificial intelligence , chemistry , wireless , combinatorial chemistry , political science , law
High throughput (combinatorial) materials science methodology is a relatively new research paradigm that offers the promise of rapid and efficient materials screening, optimization, and discovery. The paradigm started in the pharmaceutical industry but was rapidly adopted to accelerate materials research in a wide variety of areas. High throughput experiments are characterized by synthesis of a “library” sample that contains the materials variation of interest (typically composition), and rapid and localized measurement schemes that result in massive data sets. Because the data are collected at the same time on the same “library” sample, they can be highly uniform with respect to fixed processing parameters. This article critically reviews the literature pertaining to applications of combinatorial materials science for electronic, magnetic, optical, and energy-related materials. It is expected that high throughput methodologies will facilitate commercialization of novel materials for these critically impo...

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