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Prediction of density of energetic cocrystals based on QSPR modeling using artificial neural network

Crossref DOI link: https://doi.org/10.1007/s11224-018-1096-2

Published Online: 2018-03-20

Published Print: 2018-08

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Fathollahi, M.

Sajady, H.
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Text and Data Mining valid from 2018-03-20
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Article History

Received: 19 December 2017

Accepted: 15 February 2018

First Online: 20 March 2018

Compliance with ethical standards

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: The authors declare that they have no conflict of interest.