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|Author(s):||Weiping Zhang; Michael J. Fasolka; Alamgir Karim; Eric J. Amis;|
|Title:||An Informatics Infrastructure for Combinatorial and High-throughput Materials Research Built on Open Source Code|
|Published:||January 01, 2005|
|Abstract:||Laboratory Research Informatics Systems (LRIS) hold great promise in streamlining research generally, and are particularly necessary for new data-intensive research strategies such as combinatorial and high-throughput approaches. In this paper, we describe a LRIS geared towards combi materials research, which is being established in lab facilities at the NIST Combinatorial Method Center (NCMC). When complete, this system will seamlessly integrate the library design, fabrication, measurement and analysis/datamining aspects of the combi approach into a functional whole geared towards accelerating materials research. Our budding LRIS system is built upon an open source database (PostgreSQL ), and incorporates non-proprietary user/instrument interface and automation software generated largely through the Python programming language. Free to use/modify, and designed for transparency, the NCMC LRIS project aims to provide working examples of informatics infrastructure development to those interested in assimilating such tools into their research programs.|
|Citation:||Measurement Science & Technology|
|Keywords:||combinatorial methods,informatics,laboratory automation|
|Research Areas:||Combinatorial Methods|
|PDF version:||Click here to retrieve PDF version of paper (868KB)|