Discovering predictive rules of chemistry from property landscapes

Katharine W. Moore Tibbetts, Richard Li, István Pelczer, Herschel Rabitz

Research output: Contribution to journalArticlepeer-review

8 Scopus citations


Predicting the chemical and physical properties of molecules often relies on systematic rules relating the properties to molecular characteristics. This Letter introduces a novel method to reveal predictive chemical rules based on analysis of the chemical property landscape, which specifies the functional relationship between a measured property and an appropriate set of molecular variables. As an illustration, we consider landscapes relating the 17O NMR chemical shift, 13C NMR chemical shift, and IR vibrational frequency to the moieties attached to a carbonyl group. Implications of this 'Chemscape' formulation for general molecular property prediction are discussed.

Original languageEnglish (US)
Pages (from-to)1-12
Number of pages12
JournalChemical Physics Letters
StatePublished - May 30 2013

All Science Journal Classification (ASJC) codes

  • General Physics and Astronomy
  • Physical and Theoretical Chemistry


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