Machine learning-assisted design of high-entropy alloys for optimal strength and ductility-Reference-Cited by-同舟云学术

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Machine learning-assisted design of high-entropy alloys for optimal strength and ductility

Published:2024-12 Issue: Volume:1007 Page:176282
ISSN:0925-8388
Container-title:Journal of Alloys and Compounds
language:en
Short-container-title:Journal of Alloys and Compounds

Author:

Singh Shailesh Kumar,Mahanta Bashista Kumar,Rawat Pankaj,Kumar Sanjeev

Funder

Council of Scientific and Industrial Research, India

CSIR - Indian Institute of Petroleum

Publisher

Elsevier BV

Reference47 articles.

1. Machinability of nickel based superalloys: a review;Thellaputta;Mater. Today.: Proc.,2017

2. New materials enable unprecedented improvement in turbine performance;Schwant;Adv. Mater. Process.,2013

3. Breakthrough applications of high-entropy materials;Yeh;J. Mater. Res.,2018

4. High-entropy alloys;George;Nat. Rev. Mater.,2019

5. Metastable high-entropy dual-phase alloys overcome the strength–ductility trade-off;Li;Nature,2016

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