Prediction of density of energetic cocrystals based on QSPR modeling using artificial neural network
Author:
Publisher
Springer Science and Business Media LLC
Subject
Physical and Theoretical Chemistry,Condensed Matter Physics
Link
http://link.springer.com/article/10.1007/s11224-018-1096-2/fulltext.html
Reference43 articles.
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2. Yang Z, Li H, Zhou X, Zhang C, Huang H, Li J, Nie F (2012) Characterization and properties of a novel energetic–energetic cocrystal explosive composed of HNIW and BTF. Cryst Growth Des 12(11):5155–5158
3. Yang Z, Li H, Huang H, Zhou X, Li J, Nie F (2013) Preparation and performance of a HNIW/TNT cocrystal explosive. Propellants Explos Pyrotech 38(4):495–501
4. Bolton O, Simke LR, Pagoria PF, Matzger AJ (2012) High power explosive with good sensitivity: a 2:1 Cocrystal of CL-20:HMX. Cryst Growth Des 12(9):4311–4314. https://doi.org/10.1021/cg3010882
5. Ammon HL (2001) New atom/functional group volume additivity data bases for the calculation of the crystal densities of C-, H-, N-, O-, F-, S-, P-, cl-, and Br-containing compounds. Struct Chem 12(3):205–212. https://doi.org/10.1023/a:1016607906625
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