Local orders, lattice distortions, and electronic structure dominated mechanical properties of (ZrHfTaM1M2)C (M = Nb, Ti, V)-Reference-Cited by-同舟云学术

Local orders, lattice distortions, and electronic structure dominated mechanical properties of (ZrHfTaM1M2)C (M = Nb, Ti, V)

Published:2022-01-13 Issue:6 Volume:105 Page:4260-4276
ISSN:0002-7820
Container-title:Journal of the American Ceramic Society
language:en
Short-container-title:J Am Ceram Soc.

Author:

Yao Gang¹,Wang William Yi¹²,Zou Chengxiong¹,Ren Ke¹³,Li Peixuan¹,Gao Xingyu⁴,Lin Deye⁴,Wang Jun¹²,Yang Shufeng⁵,Wang Yiguang³,Song Haifeng⁴,Li Jinshan¹²

Affiliation:

1. State Key Laboratory of Solidification Processing Northwestern Polytechnical University Xi'an Shaanxi China

2. Innovation Center NPU Chongqing Chongqing China

3. Institute of Advanced Structure Technology Beijing Institute of Technology Haidian District Beijing China

4. CAEP Software Center for High Performance Numerical Simulation Institute of Applied Physics and Computational Mathematics Beijing China

5. School of Metallurgical and Ecological Engineering University of Science and Technology Beijing Beijing China

Publisher

Wiley

Subject

Materials Chemistry,Ceramics and Composites

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/jace.18323

Reference102 articles.

1. High-entropy ceramics

2. Review of high entropy ceramics: design, synthesis, structure and properties

3. Processing and Properties of High-Entropy Ultra-High Temperature Carbides

4. Ultra-high temperature ceramics: Materials for extreme environments

5. First principles study the stability and mechanical properties of MC (M=Ti, V, Zr, Nb, Hf and Ta) compounds

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