Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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Materials Map under construction

The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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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 propertiescitations
  • 2023Effect of Polymer Composition on the Optical Properties of a New Aggregation-Induced Emission Fluorophore: A Combined Experimental and Computational Approachcitations
  • 2023Effect of Polymer Composition on the Optical Properties of a New Aggregation-Induced Emission Fluorophore:A Combined Experimental and Computational Approachcitations
  • 2022Red‐emitting tetraphenylethylene derivative with aggregation‐induced enhanced emission for luminescent solar concentrators: A combined experimental and density functional theory study25citations
  • 2015Enhanced electrical and magnetic properties in La0.7Sr0.3MnO3 thin films deposited on CaTiO3 buffered silicon substrates20citations
  • 2013Predicting the physico-chemical properties of chemicals based on QSPR modelscitations
  • 2013Prediction of thermal properties of organic peroxides using QSPR modelscitations
  • 2012Global and local quantitative structure-property relationship models to predict the impact sensitivity of nitro compounds20citations
  • 2012Development of validated QSPR models for impact sensitivity of nitroaliphatic compounds32citations
  • 2012La0.7Sr0.3MnO3 suspended microbridges for uncooled bolometers made using reactive ion etching of the silicon substratescitations
  • 2011Development of a QSPR model for predicting thermal stabilities of nitroaromatic compounds taking into account their decomposition mechanisms37citations
  • 2010Excited state properties from ground state DFT descriptors : A QSPR approach for dyes25citations
  • 2010QSPR modeling of thermal stability of nitroaromatic compounds : DFT vs AM1 calculated descriptors31citations
  • 2010Predicting explosibility properties of chemicals from quantitative structure-property relationships20citations
  • 2009On the prediction of thermal stability of nitroaromatic compounds using quantum chemical calculations40citations
  • 2009Predicting explosibility properties of chemicals from quantitative structure-property relationshipscitations
  • 2008Quantitative structure-property relationship studies for predicting explosibility of nitroaromatic compoundscitations

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Pucci, Andrea
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Wang, Qinfan
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Ciofini, Ilaria
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Ottochian, Alistar
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Turelli, Michele
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Picchi, Alberto
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Picchioni, Francesco
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Heijkoop, Jesse
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Micheletti, Cosimo
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Schlom, D. G.
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Méchin, Laurence
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Pan, X. Q.
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Schiffer, P.
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Routoure, Jean-Marc
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Katz, M.
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Theeg, T.
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Schubert, J.
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Fayet, Guillaume
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Rotureau, Patricia
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Prana, Vinca
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Liu, Shuang
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Fur, Cédric
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Lemarié, Florian
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Aryan, Ammar
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Joubert, Laurent
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Wathelet, Valérie
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Jacquemin, Denis
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Perpete, Eric A.
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Co-Authors (by relevance)

  • Pucci, Andrea
  • Wang, Qinfan
  • Ciofini, Ilaria
  • Ottochian, Alistar
  • Turelli, Michele
  • Picchi, Alberto
  • Picchioni, Francesco
  • Heijkoop, Jesse
  • Micheletti, Cosimo
  • Ventura, Francesco
  • Misra, R.
  • Zander, W.
  • Schlom, D. G.
  • Wu, Sheng
  • Guillet, Bruno
  • Méchin, Laurence
  • Pan, X. Q.
  • Schiffer, P.
  • Routoure, Jean-Marc
  • Katz, M.
  • Theeg, T.
  • Mercone, Sylvana
  • Schubert, J.
  • Fayet, Guillaume
  • Rotureau, Patricia
  • Prana, Vinca
  • Liu, Shuang
  • Fur, Cédric
  • Lemarié, Florian
  • Aryan, Ammar
  • Joubert, Laurent
  • Wathelet, Valérie
  • Jacquemin, Denis
  • Perpete, Eric A.
OrganizationsLocationPeople

document

Predicting explosibility properties of chemicals from quantitative structure-property relationships

  • Fayet, Guillaume
  • Rotureau, Patricia
  • Joubert, Laurent
  • Adamo, Carlo
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

Topics
  • density
  • impedance spectroscopy
  • theory
  • density functional theory