An informatics infrastructure for combinatorial and high-throughput materials research built on open source code

Autor:	Alamgir Karim, Michael J. Fasolka, Eric J. Amis, Weiping Zhang
Rok vydání:	2004
Předmět:	Interface (Java) business.industry Process (engineering) Computer science Applied Mathematics computer.software_genre Experiential learning Automation Software Informatics Laboratory automation NIST Data mining Software engineering business Instrumentation Engineering (miscellaneous) computer
Zdroj:	Measurement Science and Technology. 16:261-269
ISSN:	1361-6501 0957-0233
DOI:	10.1088/0957-0233/16/1/034
Popis:	Laboratory research informatics systems (LRIS) hold great promise in streamlining research generally, and are absolutely necessary for new data-intensive research strategies such as combinatorial and high-throughput (C&HT) approaches. In this paper, we describe a LRIS geared towards C&HT materials research, which is being established in lab facilities at the NIST Combinatorial Method Center (NCMC). The NCMC LRIS system aims to seamlessly integrate the library design, fabrication, measurement and analysis/data-mining aspects of the combi approach into a functional whole geared towards accelerating materials research. Our LRIS system is built upon an open source database management system, and incorporates non-proprietary user/instrument interface and automation software. The NCMC LRIS project endeavours to provide working examples of informatics infrastructure development to those interested in assimilating such tools into their research programmes. Accordingly, this report aims at providing an experiential account of the process by which we designed and implemented the NCMC LRIS.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::d34e75e0e1ad695d77894d0b2e31d773 https://doi.org/10.1088/0957-0233/16/1/034 Zobrazit plný text záznamu