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DTSTAMP:20190719T085744Z
LOCATION:HG E 1.2
DTSTART;TZID=Europe/Stockholm:20190614T103000
DTEND;TZID=Europe/Stockholm:20190614T110000
UID:submissions.pasc-conference.org_PASC19_sess127_msa253@linklings.com
SUMMARY:Chemical Database Auto-Generation Tools for Large-Scale Data-Minin
 g
DESCRIPTION:Minisymposium\nComputer Science and Applied Mathematics, Chemi
 stry and Materials, Physics\n\nChemical Database Auto-Generation Tools for
  Large-Scale Data-Mining\n\nCole\n\nLarge-scale data-mining workflows are 
 increasingly able to predict successfully new chemicals that possess a tar
 geted functionality. The success of such materials discovery approaches is
  nonetheless contingent upon having the right database source to mine. Thi
 s presentation shows how to tailor-make databases to search for functional
  materials to meet the needs of a given device application.
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