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Naji, M. |
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Motta, Antonella |
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Aletan, Dirar |
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Mohamed, Tarek |
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Ertürk, Emre |
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Taccardi, Nicola |
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Kononenko, Denys |
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Petrov, R. H. | Madrid |
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Alshaaer, Mazen | Brussels |
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Bih, L. |
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Casati, R. |
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Muller, Hermance |
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Kočí, Jan | Prague |
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Šuljagić, Marija |
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Kalteremidou, Kalliopi-Artemi | Brussels |
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Azam, Siraj |
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Ospanova, Alyiya |
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Blanpain, Bart |
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Ali, M. A. |
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Popa, V. |
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Rančić, M. |
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Ollier, Nadège |
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Azevedo, Nuno Monteiro |
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Landes, Michael |
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Rignanese, Gian-Marco |
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Adamo, Carlo
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (17/17 displayed)
- 2024Understanding and simulating mechanochromism in dye-dispersed polymer blends: from atomistic insights to macroscopic properties
- 2023Effect of Polymer Composition on the Optical Properties of a New Aggregation-Induced Emission Fluorophore: A Combined Experimental and Computational Approach
- 2023Effect of Polymer Composition on the Optical Properties of a New Aggregation-Induced Emission Fluorophore:A Combined Experimental and Computational Approach
- 2022Red‐emitting tetraphenylethylene derivative with aggregation‐induced enhanced emission for luminescent solar concentrators: A combined experimental and density functional theory studycitations
- 2015Enhanced electrical and magnetic properties in La0.7Sr0.3MnO3 thin films deposited on CaTiO3 buffered silicon substratescitations
- 2013Predicting the physico-chemical properties of chemicals based on QSPR models
- 2013Prediction of thermal properties of organic peroxides using QSPR models
- 2012Global and local quantitative structure-property relationship models to predict the impact sensitivity of nitro compoundscitations
- 2012Development of validated QSPR models for impact sensitivity of nitroaliphatic compoundscitations
- 2012La0.7Sr0.3MnO3 suspended microbridges for uncooled bolometers made using reactive ion etching of the silicon substrates
- 2011Development of a QSPR model for predicting thermal stabilities of nitroaromatic compounds taking into account their decomposition mechanismscitations
- 2010Excited state properties from ground state DFT descriptors : A QSPR approach for dyescitations
- 2010QSPR modeling of thermal stability of nitroaromatic compounds : DFT vs AM1 calculated descriptorscitations
- 2010Predicting explosibility properties of chemicals from quantitative structure-property relationshipscitations
- 2009On the prediction of thermal stability of nitroaromatic compounds using quantum chemical calculationscitations
- 2009Predicting explosibility properties of chemicals from quantitative structure-property relationships
- 2008Quantitative structure-property relationship studies for predicting explosibility of nitroaromatic compounds
Places of action
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conferencepaper
Quantitative structure-property relationship studies for predicting explosibility of nitroaromatic compounds
Abstract
The new European regulation of chemicals named REACH (for "Registration, Evaluation and Authorization of CHemicals", published by the European Commission in December 2006) implies that a tremendous number of substances (up to 30000) may require a new assessment of hazardous properties. Therefore, there is a growing interest in evaluating capabilities of predictive methods for assessing hazardous properties of chemical substances as a screening process. If Quantitative Structure-Property Relationship (QSPR) type methods have been up to now mainly devoted to screening toxic properties, their use to establish relationships between the explosibility of dangerous substances and structural, energetic or physicochemical descriptors could lead to new perspectives. This contribution focuses on the case of a series of nitroaromatic compounds, which are all expected to present more or less severe explosive properties due to the presence of the nitro group. In particular, this paper shows that a multilinear regression model links correctly adequate molecular descriptors of nitroaromatic compounds with thermal stability (taken as a macroscopic property related to explosibility). The descriptors are mostly obtained by ab initio quantum chemical calculations. Moreover, we present a detailed theoretical investigation on the decomposition pathways of substituted nitrobenzenes using quantum chemical methods that provide pertinent information for the use of descriptors in relation with energetic aspects to access to more robust QSPR models