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Peter Jurs

Emeritus, Professor of Chemistry
Peter Jurs

Awards & Achievements:

2009 - Fellow of the American Chemical Society

1986 - Fellow of the American Association for the Advancement of Science (AAAS):



His primary scientific interests are in Artificial neural network, Artificial intelligence, Linear regression, Quantitative structure–activity relationship and Set. His Artificial intelligence research includes elements of Machine learning and Pattern recognition. His work in the fields of Pattern recognition, such as Pattern recognition, intersects with other areas such as Learning vector quantization neural network.

His Linear regression study combines topics in areas such as Kovats retention index, Property, Chromatography, Regression analysis and Data set. His Quantitative structure–activity relationship research incorporates elements of Data mining, Root-mean-square deviation and Aqueous solution, Henry's law. His Set research includes themes of Optical fiber, Biological system, Analyte and Molecular geometry.



Development and use of charged partial surface area structural descriptors in computer-assisted quantitative structure-property relationship studies

David T. Stanton;Peter C. Jurs.
Analytical Chemistry (1990)

826 Citations


Computational methods for the analysis of chemical sensor array data from volatile analytes.

P C Jurs;G A Bakken;H E McClelland.
Chemical Reviews (2000)

680 Citations


Prediction of human intestinal absorption of drug compounds from molecular structure.

Matthew D. Wessel;Peter C. Jurs;John W. Tolan;Steven M. Muskal.
Journal of Chemical Information and Computer Sciences (1998)

411 Citations


Descriptions of molecular shape applied in studies of structure/activity and structure/property relationships

Robert H. Rohrbaugh;Peter C. Jurs.
Analytica Chimica Acta (1987)

278 Citations


Automated Descriptor Selection for Quantitative Structure-Activity Relationships Using Generalized Simulated Annealing

Jon M. Sutter;Steven L. Dixon;Peter C. Jurs.
Journal of Chemical Information and Computer Sciences (1995)

247 Citations


Detection of hazardous vapors including mixtures using pattern recognition analysis of responses from surface acoustic wave devices

Susan L. Rose-Pehrsson;Jay W. Grate;David S. Ballantine;Peter C. Jurs.
Analytical Chemistry (1988)

232 Citations


Computerized learning machines applied to chemical problems. Molecular formula determination from low resolution mass spectrometry

P. C. Jurs;B. R. Kowalski;Thomas L. Isenhour.
Analytical Chemistry (1969)

198 Citations


Detection of hazardous gases and vapors: pattern recognition analysis of data from an electrochemical sensor array

Joseph R. Stetter;Peter C. Jurs;Susan L. Rose.
Analytical Chemistry (1986)

192 Citations


Computer-Assisted Computation of Partition Coefficients from Molecular Structures Using Fragment Constants

J. T. Chou;Peter C. Jurs.
Journal of Chemical Information and Computer Sciences (1979)

186 Citations


Prediction of Aqueous Solubility of Organic Compounds from Molecular Structure

Brooke E. Mitchell;Peter C. Jurs.
Journal of Chemical Information and Computer Sciences (1998)

170 Citations