From Science to Innovation and From Data to Knowledge: eScience in the Dutch Polymer Institute's High-Throughput Experimentation Cluster

Adams, Nico; Schubert, Ulrich S.

Abstract:

Modern materials research increasingly relies on the use of combinatorial and highthroughput synthesis and screening methods in order to shorten product development times and to maintain filled product pipelines. In order to derive maximum benefit from such technologies, an informatics infrastructure, which supports the experimental work, is indispensable. This paper discusses the efforts made at the Dutch Polymer Institute (DPI) to develop such a system. A detailed requirements and workflow analysis is presented, together with the solution implemented at the DPI. In our approach, we have focussed on the use of existing and proven enterprise technologies, based on open standards, such as JAVA, J2EE, XML and SQL. This allows the rapid development of interfaces between applications as required.

Year:

2005

Type of Publication:

Article

Keywords:

Materials science; High-throughput experimentation; Cheminformatics; Modelling; Knowledge management; Combinatorial research

Journal:

QSAR {&} Combinatorial Science

Volume:

42

Pages:

58 - 65