University of Tartu, Institute of Chemistry, Molecular Technology (Estonia)
QnSAR-s or QnSPR-s for nanostructures, nanoparticles or nanomaterials
Browsing QnSAR-s or QnSPR-s for nanostructures, nanoparticles or nanomaterials by Descriptor calculation software

Browsing QnSAR-s or QnSPR-s for nanostructures, nanoparticles or nanomaterials by Descriptor calculation software "CODESSA 2.0"

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Browsing QnSAR-s or QnSPR-s for nanostructures, nanoparticles or nanomaterials by Descriptor calculation software "CODESSA 2.0"

Showing items 1-2 of 2

Martin, D.; Maran, U.; Sild, S.; Karelson, M. QSPR Modeling of Solubility of Polyaromatic Hydrocarbons and Fullerene in 1-Octanol and n-Heptane. J. Phys. Chem. B 2007, 111, 33, 9853-9857.

Published: Geven Piir (2014-10-10)

Abstract: Solubility of polyaromatic hydrocarbons (PAH) and carbon nanostructures is important both from the technical and environmental points of view. In the present work, two general quantitative structure - property relationship (QSPR) models were developed, describing the solubility of PAH-s and fullerene (C60 ) in two different condensed media (1-octanol and ...

Regression
Martin, D.; Sild, S.; Maran, U.; Karelson, M. QSPR Modeling of the Polarizability of Polyaromatic Hydrocarbons and Fullerenes. J. Phys. Chem. C 2008, 112, 13, 4785–4790.

Published: Geven Piir (2014-10-10)

Abstract: Polarizability is one of the key properties determining the nonlinear optical effects of the new materials. In the current study, a quantitative structure - property relationship approach is used to model the polarizability of polyaromatic hydrocarbons (PAHs) and fullerenes. The model is derived using the data set of 40 PAHs and fullerenes and includes just ...

Regression

Showing items 1-2 of 2

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