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Ohrenberg, Arne; von Törne, Christian; Schuppert, Andreas; Knab, Bernhard

Application of Data Mining and Evolutionary Optimization in Catalyst Discovery and High‐Throughput Experimentation – Techniques, Strategies, and Software

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  • Media type: E-Article
  • Title: Application of Data Mining and Evolutionary Optimization in Catalyst Discovery and High‐Throughput Experimentation – Techniques, Strategies, and Software
  • Contributor: Ohrenberg, Arne; von Törne, Christian; Schuppert, Andreas; Knab, Bernhard
  • imprint: Wiley, 2005
  • Published in: QSAR & Combinatorial Science
  • Language: English
  • DOI: 10.1002/qsar.200420059
  • ISSN: 1611-020X; 1611-0218
  • Keywords: Organic Chemistry ; Computer Science Applications ; Drug Discovery
  • Origination:
  • Footnote:
  • Description: <jats:title>Abstract</jats:title><jats:p>Data‐mining and evolutionary optimization techniques are powerful tools to improve the efficiency of high‐throughput experimentation (HTE) to discover new materials, drugs, or catalysts.</jats:p>