Open AccessPrediction of the Fracture Voltage of TiO2-Doped ZnO-Bi2O3-MnO-CoO Ceramics Produced by the Chemical Precipitation Method with Using Artificial Neural Networks
Author(s) -
Seher Arslankaya,
Naki Kaya,
H. Özkan Toplan
Publication year - 2019
Publication title -
acta physica polonica. a
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.217
H-Index - 38
eISSN - 1898-794X
pISSN - 0587-4246
DOI - 10.12693/aphyspola.135.713
Subject(s) - materials science , doping , ceramic , precipitation , mineralogy , analytical chemistry (journal) , composite material , optoelectronics , geology , meteorology , chemistry , physics , environmental chemistry