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Browsing by Journal "J. Loss Prev. Process Ind."

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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
Pan, Y.; Zhang, Y.; Jiang, J.; Ding, L. Prediction of the self-accelerating decomposition temperature of organic peroxides using the quantitative structure–property relationship (QSPR) approach. J. Loss Prev. Process Ind. 2014, 31, 41–49.

Published: Geven Piir (2015-01-05)

Abstract: The reactivity hazard of organic peroxides has been reported as one of the main causes for fire and explosion in process industries. The self-accelerating decomposition temperature (SADT) is one of the most important thermal hazard parameters for risk assessment and safe management of organic peroxides during storage and transportation. This study proposed a ...

PhysChem Regression

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