Prediction of corrosion resistance of some dental metallic materials applying artificial neural networks-Reference-Cited by-同舟云学术

Prediction of corrosion resistance of some dental metallic materials applying artificial neural networks

Published:2016-02-17 Issue:11 Volume:67 Page:1213-1219
ISSN:0947-5117
Container-title:Materials and Corrosion
language:en
Short-container-title:Materials and Corrosion

Author:

Mareci D.¹,Suditu G. D.¹,Chelariu R.²,Trincă L. C.³,Curteanu S.¹

Affiliation:

1. Faculty of Chemical Engineering and Environmental Protection; “Gheorghe Asachi” Technical University of Iasi; 73, Prof. dr. doc. D. Mangeron Blvd. 700050 Iasi Romania

2. Faculty of Materials Science and Engineering; “Gheorghe Asachi” Technical University of Iasi; 41 Prof. dr. doc. D. Mangeron Blvd. 700050 Iasi Romania

3. Faculty of Horticulture; “Ion Ionescu de la Brad” University of Agricultural Sciences and Veterinary Medicine; 3 M. Sadoveanu Alley 700490 Iasi Romania

Funder

Romanian National Authority for Scientific Research, CNCS-UEFISCDI

Publisher

Wiley

Subject

Materials Chemistry,Metals and Alloys,Surfaces, Coatings and Films,Mechanical Engineering,Mechanics of Materials,Environmental Chemistry,Materials Chemistry,Metals and Alloys,Surfaces, Coatings and Films,Mechanical Engineering,Mechanics of Materials,Environmental Chemistry,Materials Chemistry,Metals and Alloys,Surfaces, Coatings and Films,Mechanical Engineering,Mechanics of Materials,Environmental Chemistry

Reference29 articles.

1. Wear and Corrosion Interactions on Titanium in Oral Environment: Literature Review

2. A Review of Titanium Zirconium (TiZr) Alloys for Use in Endosseous Dental Implants

3. Development of new metallic alloys for biomedical applications

4. A new look at biomedical Ti-based shape memory alloys

5. The electrochemical characteristics of native Nitinol surfaces

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