No abstract

No abstract

An artificial neural network (ANN)--the Kohonen Self-Organizing Feature Map (SOM)-is used to evaluate solid-state NMR spectroscopic derived data of 72 siloxane-based phosphine and organometallic functionalized hybrid polymers. The data set consists of parameters that describe their structural features and their dynamic behavior. The ANN visualizes similarities of the investigated compounds by reducing the dimension of the data set. This allows a comparison of these polymers that was not possible beforehand because of their structural diversity.

Organic modified siloxanes of the type RSi(O-Me 2 ) 2 (CH 2 ) 3 C 6 D 4 (CH 2 ) 3 (OMe 2 ) 2 SiR [R ϭ Me (4), R ϭ OMe (5)] were sol-gel processed employing solvents of different polarity (MeOH and THF) to yield the corresponding inorganic-organic hybrid polymers X4a Ϫ X5b with different physical properties. These polymers were investigated by multinuclear ( 2 H, 13 C, and Mobilitätsstudien an siloxan-basierten anorganisch-organischen Hybridpolymeren mittels dynamischer Festkörper-, Suspensions-und Deuterium-NMR-SpektroskopieInhaltsübersicht. Organisch modifizierte Siloxane des Typs RSi(O-Me 2 ) 2 (CH 2 ) 3 C 6 D 4 (CH 2 ) 3 (OMe 2 ) 2 SiR [R ϭ Me (4), R ϭ OMe (5)] wurden mit Hilfe von Lösungsmitteln unterschiedlicher Polarität (MeOH und THF) Sol-gel prozessiert. Sie ergaben die entsprechenden anorganisch-organischen Hybridpolymere X4a Ϫ X5b mit unterschiedlichen physikalischen Eigenschaften. Diese Polymere wur-29 Si) solid state and 1 H suspension state NMR spectroscopy, including dynamic NMR techniques, in order to correlate the mobilities of these xerogels with physical properties, especially with the cross-linkage. den mit Multikern ( 2 H, 13 C, 29 Si) Festkörper-und 1 H Suspensions-NMR-Spektroskopie untersucht. Dabei wurden auch dynamische NMR-Methoden verwendet, um die Beweglichkeiten mit den physikalischen Eigenschaften der Xerogele Ϫ insbesondere deren Vernetzung Ϫ zu korrelieren.

ChemInform is a weekly Abstracting Service, delivering concise information at a glance that was extracted from about 100 leading journals. To access a ChemInform Abstract of an article which was published elsewhere, please select a “Full Text” option. The original article is trackable via the “References” option.