Prediction of Material Properties from Chemical Structures. The Clearing Temperature of Nematic Liquid Crystals Derived from Their Chemical Structures by Artificial Neural Networks-Reference-Cited by-同舟云学术

Prediction of Material Properties from Chemical Structures. The Clearing Temperature of Nematic Liquid Crystals Derived from Their Chemical Structures by Artificial Neural Networks

Published:1996-01-01 Issue:6 Volume:36 Page:1173-1177
ISSN:0095-2338
Container-title:Journal of Chemical Information and Computer Sciences
language:en
Short-container-title:J. Chem. Inf. Comput. Sci.

Author:

Kränz Helge¹,Vill Volkmar¹,Meyer Bernd¹

Affiliation:

1. Institute for Organic Chemistry, University of Hamburg, Martin-Luther-King-Pl. 6, 20146 Hamburg, Germany

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/ci960482r

Reference16 articles.

1. Identification of the 1 H-NMR Spectra of Complex Oligosaccharides with Artificial Neural Networks

2. Computer Assisted Simulation of 13C Nuclear Magnetic Spectra of Monosaccharides

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