Prediction of the physical properties of barium titanates using an artificial neural network-Reference-Cited by-同舟云学术

Prediction of the physical properties of barium titanates using an artificial neural network

Published:2017-03-24 Issue:4 Volume:123 Page:
ISSN:0947-8396
Container-title:Applied Physics A
language:en
Short-container-title:Appl. Phys. A

Author:

Al-Jabar Ahmed Jaafar Abed,Al-dujaili Mohammed Assi Ahmed,Al-hydary Imad Ali Disher

Publisher

Springer Science and Business Media LLC

Subject

General Materials Science,General Chemistry

Link

http://link.springer.com/content/pdf/10.1007/s00339-017-0885-6.pdf

Reference12 articles.

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2. M. Vijatović, J. Bobić, B. Stojanović, History and challenges of barium titanate: Part I. Sci. Sinter. 40(2), 155–165 (2008)

3. H.F. Mark, J.J. McKetta, Jr., D.F. Othmer, Encyclopedia of chemical technology, vol 20, 2nd edn. (Interscience Publishers, 1969), p. 527–565

4. A.J. Moulson, J.M. Herbert, (2003). Electroceramics: materials, properties, applications, 2nd edn. Wiley, NJ 07030, USA. Print ISBN: 9780471497479, Online ISBN: 9780470867969, doi: 10.1002/0470867965 , p. 574

5. A. Mortensen, (2006). Concise encyclopedia of composite materials, 2nd edn, Elsevier Science, eBook ISBN: 9780080524627, Print Book ISBN: 9780080451268, p. 1050

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