Accelerated discovery and formation mechanism of high-entropy carbide ceramics using machine learning based on low-cost descriptors-Reference-Cited by-同舟云学术

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Accelerated discovery and formation mechanism of high-entropy carbide ceramics using machine learning based on low-cost descriptors

Published:2024-11 Issue: Volume:1004 Page:175929
ISSN:0925-8388
Container-title:Journal of Alloys and Compounds
language:en
Short-container-title:Journal of Alloys and Compounds

Author:

Guo Wenjian,Wang Lingyu,Zhu Li’an,Ye Yicong,Zhang Zhouran,Yang Bin,Zhang Shifeng,Bai Shuxin

Funder

National Natural Science Foundation of China

Jiangxi Provincial Natural Science Foundation

Publisher

Elsevier BV

Reference72 articles.

1. Entropy-stabilized oxides;Rost;Nat. Commun.,2015

2. Part II: experimental verification of computationally predicted preferential oxidation of refractory high entropy ultra-high temperature ceramics;Backman;Acta Mater.,2020

3. High-entropy ceramics: present status, challenges, and a look forward;Xiang;J. Adv. Ceram.,2021

4. Irradiation performance of high entropy ceramics: a comprehensive comparison with conventional ceramics and high entropy alloys;Huang;Prog. Mater. Sci.,2024

5. High-entropy carbide-based ceramic cutting tools;Luo;J. Am. Ceram. Soc.,2023

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