Application of Quantitative Structure−Performance Relationship and Neural Network Models for the Prediction of Physical Properties from Molecular Structure

Predicting Physical−Chemical Properties

Predicting Physical−Chemical Properties of Compounds from Molecular Structures by Recursive Neural Networks

✍ Bernazzani, Luca; Duce, Celia; Micheli, Alessio; Mollica, Vincenzo; Sperduti, Al 📂 Article 📅 2006 🏛 American Chemical Society 🌐 English ⚖ 334 KB

Prediction of Henry's Law Constants by a

Prediction of Henry's Law Constants by a Quantitative Structure Property Relationship and Neural Networks

✍ English, N.J.; Carroll, D.G. 📂 Article 📅 2001 🏛 American Chemical Society 🌐 English ⚖ 128 KB

ChemInform Abstract: Quantitative Struct

ChemInform Abstract: Quantitative Structure—Property Relationships for the Prediction of Vapor Pressures of Organic Compounds from Molecular Structures.

✍ Heidi Engelhardt McClelland; Peter C. Jurs 📂 Article 📅 2000 🏛 John Wiley and Sons ⚖ 25 KB 👁 1 views

## Abstract 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 v

Quantitative structure–conditions–proper

Quantitative structure–conditions–property relationship studies. Neural network modelling of the acid hydrolysis of esters

✍ Nataliya M. Halberstam; Igor I. Baskin; Vladimir A. Palyulin; Nikolai S. Zefirov 📂 Article 📅 2002 🏛 Royal Society of Chemistry 🌐 English ⚖ 212 KB

ChemInform Abstract: Prediction of Henry

ChemInform Abstract: Prediction of Henry′s Law Constants by a Quantitative Structure—Property Relationship and Neural Networks.

✍ Niall J. English; Daniel G. Carroll 📂 Article 📅 2010 🏛 John Wiley and Sons ⚖ 25 KB 👁 2 views

## Abstract 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 v

Predictive Quantitative Structure–Proper

Predictive Quantitative Structure–Property Relationship Model for the Estimation of Ionic Liquid Viscosity

✍ Mirkhani, Seyyed Alireza; Gharagheizi, Farhad 📂 Article 📅 2012 🏛 American Chemical Society 🌐 English ⚖ 719 KB