Skip to Main content Skip to Navigation
Conference papers

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.
Document type :
Conference papers
Complete list of metadatas

https://hal-ineris.archives-ouvertes.fr/ineris-00976258
Contributor : Gestionnaire Civs <>
Submitted on : Wednesday, April 9, 2014 - 4:52:56 PM
Last modification on : Wednesday, April 9, 2014 - 4:52:56 PM

Identifiers

  • HAL Id : ineris-00976258, version 1

Collections

Citation

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⟩

Share

Metrics

Record views

86