Data driven development of iron-based metallic glasses using artificial neural networks-Reference-Cited by-同舟云学术

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Data driven development of iron-based metallic glasses using artificial neural networks

Published:2024-01 Issue: Volume:972 Page:172895
ISSN:0925-8388
Container-title:Journal of Alloys and Compounds
language:en
Short-container-title:Journal of Alloys and Compounds

Author:

Bobzin K.,Heinemann H.,Burbaum E.,Johann L.M.,Seßler J.,Gärtner J.

Funder

DFG

Publisher

Elsevier BV

Subject

Materials Chemistry,Metals and Alloys,Mechanical Engineering,Mechanics of Materials

Reference45 articles.

1. Glassy metals;Chen;Rep. Prog. Phys.,1980

2. Fe-based metallic glass coatings by thermal spraying: a focused review on corrosion properties and related degradation mechanisms;Nayak;Int. Mater. Rev.,2022

3. VACUUMSCHMELZE GmbH. & Co K.G., Amorpher Werkstoff - VITROVAC, 2020, 〈https://vacuumschmelze.de/Produkte/Weichmagnetische-Werkstoffe-und-Stanzteile/Amorpher-Werkstoff---VITROVAC〉.

4. Liquidmetal Technologies, Liquidmetal Technologies Website, 2020, https://www.liquidmetal.com/industrial/, accessed 24 August 2020.

5. High-temperature erosion resistance of FeBSiNb amorphous coatings deposited by arc spraying for boiler applications;Cheng;J. Therm. Spray. Tech.,2013

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Machine learning aided prediction of sintering induced swelling in powder metallurgical Cu-Sn alloys;Computational Materials Science;2024-02

2. Data driven development of iron-based metallic glasses using artificial neural networks;Journal of Alloys and Compounds;2024-01

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