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pro vyhledávání: '"Chu, Yanhui"'
Machine learning potential-driven prediction of high-entropy ceramics with ultra-high melting points
Developing high-entropy ceramics (HECs) with ultra-high melting points (Tm) is crucial for their applications in ultra-high-temperature environments. However, related research has seldom been reported. Here, taking high-entropy diborides (HEBs) as an
Externí odkaz:
http://arxiv.org/abs/2406.08275
The mechanical and thermal performance of high-entropy ceramics are critical to their use in extreme conditions. However, the vast composition space of high-entropy ceramic significantly hinders their development with desired mechanical and thermal p
Externí odkaz:
http://arxiv.org/abs/2406.08243
Revealing the hardening and strengthening mechanisms is crucial for facilitating the design of superhard and high-strength high-entropy ceramics (HECs). Here, we take high-entropy diborides (HEB$_2$) as the prototype to thoroughly investigate the har
Externí odkaz:
http://arxiv.org/abs/2312.09574
Publikováno v:
In Ceramics International 1 September 2024 50(17) Part B:31006-31013
Publikováno v:
In Catalysis Today 1 September 2024 439
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In Corrosion Science 15 July 2024 235
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In Corrosion Science June 2024 233
Publikováno v:
In Journal of Materiomics May 2024 10(3):738-747
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In Journal of Materiomics March 2024 10(2):423-430
Publikováno v:
In Cell Reports Physical Science 21 February 2024 5(2)