People | Locations | Statistics |
---|---|---|
Naji, M. |
| |
Motta, Antonella |
| |
Aletan, Dirar |
| |
Mohamed, Tarek |
| |
Ertürk, Emre |
| |
Taccardi, Nicola |
| |
Kononenko, Denys |
| |
Petrov, R. H. | Madrid |
|
Alshaaer, Mazen | Brussels |
|
Bih, L. |
| |
Casati, R. |
| |
Muller, Hermance |
| |
Kočí, Jan | Prague |
|
Šuljagić, Marija |
| |
Kalteremidou, Kalliopi-Artemi | Brussels |
|
Azam, Siraj |
| |
Ospanova, Alyiya |
| |
Blanpain, Bart |
| |
Ali, M. A. |
| |
Popa, V. |
| |
Rančić, M. |
| |
Ollier, Nadège |
| |
Azevedo, Nuno Monteiro |
| |
Landes, Michael |
| |
Rignanese, Gian-Marco |
|
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
Organizations | Location | People |
---|
document
Predicting explosibility properties of chemicals from quantitative structure-property relationships
Abstract
Quantitative Structure-Property Relationship (QSPR) type methods have been up to now mainly devoted to biological, toxicological applications but their use for the prediction of physico-chemical properties is a growing interest for academic as for industrial scientists. In this context, an original approach associating QSPR methods and quantum chemical calculations for the prediction of chemicals explosibility properties is presented here. Indeed, the new European regulation of chemicals named REACH (for "Registration, Evaluation and Authorization of CHemicals", entered into force in Europe in June 2007) implies that a tremendous number of substances (up to 30000) may require a new assessment of hazardous properties. But, the complete characterization of toxicological, ecotoxicological and physico-chemical hazards at an experimental level is incompatible in term of time and cost with the imposed calendar of REACH. Hence, there is a real need in evaluating capabilities of alternative methods (including QSPR methods) for assessing hazardous properties of chemical substances as a screening process. This contribution focuses on the models that have been established to predict accurately the thermal stability of a series of potentially explosive nitroaromatic molecules. Descriptors related to the structure of the molecules (topological, geometrical, electronic, quantum chemical), partially obtained from Density Functional Theory (DFT) calculations, were computed and statistical analyses (linear, multilinear regressions) were performed to link correctly the adequate molecular descriptors with the experimental properties. These first results coupling theoretical calculations and QSPR methods open new perspectives for the prediction of other physico-chemical properties