Predicting the impact sensitivity of explosive molecules using neuromimetic networks

Abstract : Predicting the impact sensitivity of molecules is an important problem that has been addressed by many works. Indeed, for obvious safety reasons, it would be extremely useful to be able to predict whether or not a molecule represents a danger. In spite of this, until today, no complete solution is available, even though the literature lists a great number of results on this theme.
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Communication dans un congrès
1. International Workshop on neural networks applied to chemistry and environmental sciences, Jun 1992, Lyon, France
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Soumis le : mercredi 9 avril 2014 - 16:52:56
Dernière modification le : mercredi 9 avril 2014 - 16:52:56

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  • HAL Id : ineris-00976258, version 1

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H. Nefati, B. Diawara, J.J. Legendre. Predicting the impact sensitivity of explosive molecules using neuromimetic networks. 1. International Workshop on neural networks applied to chemistry and environmental sciences, Jun 1992, Lyon, France. 〈ineris-00976258〉

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