Hosoya Index, Lucas Numbers and QSPR

dc.contributor.authorMcLaughlin, Kevin
dc.contributor.authorDawson, Kevin
dc.contributor.authorWesterberg, Tina
dc.date.accessioned2005-10-24T13:41:33Z
dc.date.available2005-10-24T13:41:33Z
dc.date.issued2005-04
dc.descriptionColor poster with text detailing research conducted by Kevin Dawson and Tina Westerberg, advised by Dr. Kevin McLaughlin (University of Wisconsin-River Falls) that examines the use of a topological index to predict the properties of molecules.en
dc.description.abstractThe number of different molecules with the formula C64H130 is more than one hundred million billion times greater that the number of different molecules of all types and formulas cataloged in all of human history. Therefore, it is imperative that theoretical chemists develop methods to predict properties of molecules from their structures so that synthetic chemists can identify on which of the enumerable molecular structures they should expend their finite resources. One such approach to predicting the properties of molecules involves something called a topological index. We present an analysis of the problems involved in the use of one such topological index for quantitative structure-property relationships.en
dc.format.extent88272 bytes
dc.format.mimetypeapplication/pdf
dc.identifier.urihttp://digital.library.wisc.edu/1793/271
dc.language.isoen_US
dc.subjectBoiling-Pointsen
dc.subjectQSPRen
dc.subjectChemistryen
dc.subjectLucas Numbersen
dc.subjectTopological Indexen
dc.subjectHosoya Indexen
dc.subjectQuantitative Structure-Property Relationshipsen
dc.subjectMolecular Structureen
dc.titleHosoya Index, Lucas Numbers and QSPRen
dc.typeImageen

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
X.pdf
Size:
86.2 KB
Format:
Adobe Portable Document Format

License bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
license.txt
Size:
1.97 KB
Format:
Item-specific license agreed upon to submission
Description:

Collections