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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
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article
Global and local quantitative structure-property relationship models to predict the impact sensitivity of nitro compounds
Abstract
New quantitative structure-property relationships were developed to predict accurately the impact sensitivity of nitro compounds from their molecular structures. Such predictive approaches represent good alternative to complete experimental testing in development process or for regulatory issues (e.g., within the European REACH regulation). To achieve highly predictive models, two approaches were used to explore the whole diversity of nitro compounds included in a dataset of 161 molecules. In the first step, local models, dedicated to nitramines, nitroaliphatics, and nitroaromatics, were proposed. After that, a global model was developed to be applicable for the whole range of the nitro compounds of the dataset. In both cases, large series of molecular descriptors were calculated from quantum chemically calculated molecular structures, and multilinear regressions were computed to correlate them with experimental impact sensitivities. Both the global and local models could predict nitramines and nitroaliphatics in high accuracy whereas nitroaromatics were more difficult to be predicted due to their complex decomposition mechanisms. The proposed models were validated in the perspective of potential regulatory use according to the OECD principles, including internal, external validation, and the definition of their applicability domain. So, they could then be used for prediction either separately or in a consensus approach.