Prediction of glass transition temperatures from monomer and repeat unit structure using computational neural networks

BE Mattioni, PC Jurs - Journal of chemical information and …, 2002 - ACS Publications
Quantitative structure− property relationships (QSPR) are developed to correlate glass
transition temperatures and chemical structure. Both monomer and repeat unit structures are …
被引用次数：162 相关文章

Prediction of glass transition temperatures from monomer and repeat unit structure using computational neural networks

BE Mattioni, PC Jurs - Journal of chemical information and …, 2002 - pubmed.ncbi.nlm.nih.gov
Quantitative structure-property relationships (QSPR) are developed to correlate glass
transition temperatures and chemical structure. Both monomer and repeat unit structures are …

[引用][C] Prediction of Glass Transition Temperatures from Monomer and Repeat Unit Structure Using Computational Neural Networks

BE Mattioni, PC Jurs - Journal of Chemical Information and Computer …, 2002 - cir.nii.ac.jp
Prediction of Glass Transition Temperatures from Monomer and Repeat Unit Structure Using
Computational Neural Networks | CiNii Research CiNii 国立情報学研究所 学術情報ナビゲータ …

Prediction of glass transition temperatures from monomer and repeat unit structure using computational neural networks.

BE Mattioni, PC Jurs - Journal of Chemical Information and …, 2002 - europepmc.org
Quantitative structure-property relationships (QSPR) are developed to correlate glass
transition temperatures and chemical structure. Both monomer and repeat unit structures are …

[引用][C] Prediction of Glass Transition Temperatures from Monomer and Repeat Unit Structure Using Computational Neural Networks

BE Mattioni, PC Jurs - Journal of Chemical Information and Modeling, 2002 - infona.pl
Prediction of Glass Transition Temperatures from Monomer and Repeat Unit Structure Using
Computational Neural Networks × Close The Infona portal uses cookies, ie strings of text …

[引用][C] Prediction of Glass Transition Temperatures from Monomer and Repeat Unit Structure Using Computational Neural Networks.

BE Mattioni, PC Jurs - ChemInform, 2002 - Wiley Online Library