Improved Quantitative Structure Property Relationships for the Prediction of Dielectric Constants for a Set of Diverse Compounds by Subsetting of the Data Set-Reference-Cited by-同舟云学术

Improved Quantitative Structure Property Relationships for the Prediction of Dielectric Constants for a Set of Diverse Compounds by Subsetting of the Data Set

Published:2000-08-24 Issue:5 Volume:40 Page:1253-1261
ISSN:0095-2338
Container-title:Journal of Chemical Information and Computer Sciences
language:en
Short-container-title:J. Chem. Inf. Comput. Sci.

Author:

Schweitzer Robert C.¹,Morris Jeffrey B.¹

Affiliation:

1. Army Research Laboratory, AMSRL-WM-BD, Aberdeen Proving Grounds, Maryland 21005-5066

Publisher

American Chemical Society (ACS)

Subject

Computational Theory and Mathematics,Computer Science Applications,Information Systems,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/ci0000070

Reference40 articles.

1. Hasted, J.AqueousDielectrics; Chapman and Hall: London, 1973.

2. Quantitative approach to biochemical structure-activity relationships

3. The development of a quantitative structure property relationship (QSPR) for the prediction of dielectric constants using neural networks

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