Open AccessApplying artificial neural networks to predict the dissolution profile of silica-calcium phosphate composite (SCPC) particles in vitro
Author(s) -
Hassan Mohammed,
Ahmed ElGhannam
Publication year - 2016
Publication title -
frontiers in bioengineering and biotechnology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.081
H-Index - 44
ISSN - 2296-4185
DOI - 10.3389/conf.fbioe.2016.01.03046
Subject(s) - dissolution , calcium , materials science , chemical engineering , composite number , phosphate , cristobalite , mineralogy , nuclear chemistry , chemistry , composite material , metallurgy , biochemistry , engineering , quartz
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