Browsing Ineris - Institut national de l’environnement industriel et des risques (France) by Model type "Regression model (regression)"

Showing items 1-3 of 3

Fayet, G.; Rotureau, P. Development of simple QSPR models for the impact sensitivity of nitramines. J. Loss Prev. Process Ind. 2014, 30, 1–8.

Published: Geven Piir (2020-04-30)

Abstract: Quantitative structure–property relationships represent a powerful method alternative to experiments to access the estimation of physico-chemical properties of chemical substances. Such predictions are useful for screening purpose at R&D level. Moreover, this approach is encouraged by the REACH regulation for the collection of data when used cleanly and ...

PhysChem Regression DescriptorCalculation QMRF
Prana, V.; Fayet, G.; Rotureau, P.; Adamo, C. Development of validated QSPR models for impact sensitivity of nitroaliphatic compounds. J. Hazard. Mater. 2012, 235-236, 169–177.

Published: Geven Piir (2019-09-27)

Abstract: The European regulation of chemicals named REACH implies the assessment of a large number of substances based on their hazardous properties. However, the complete characterization of physico-chemical, toxicological and eco-toxicological properties by experimental means is incompatible with the imposed calendar of REACH. Hence, there is a real need in evaluating ...

PhysChem Regression DescriptorCalculation QMRF
Prana, V.; Rotureau, P.; André, D.; Fayet, G.; Adamo, C. Development of Simple QSPR Models for the Prediction of the Heat of Decomposition of Organic Peroxides. Mol. Inform. 2017, 36, 1700024.

Published: Geven Piir (2020-04-28)

Abstract: Quantitative structure‐property relationships represent alternative method to experiments to access the estimation of physico‐chemical properties of chemicals for screening purpose at R&D level but also to gather missing data in regulatory context. In particular, such predictions were encouraged by the REACH regulation for the collection of data, provided that ...

Regression DescriptorCalculation QMRF

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Browsing Ineris - Institut national de l’environnement industriel et des risques (France) by Model type "Regression model (regression)"

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