Advances in High Entropy Ceramics

A special issue of Crystals (ISSN 2073-4352). This special issue belongs to the section "Polycrystalline Ceramics".

Deadline for manuscript submissions: 15 September 2024 | Viewed by 562

Special Issue Editors


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Guest Editor
Qingdao Institute of Bioenergy and Bioprocess Technology, Chinese Academy of Sciences, Qingdao 266101, China
Interests: functional ceramics; high-entropy oxides; energy storage; cathode materials; NTC thermistors

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Guest Editor
Xiamen Institute of Rare Earth Materials, Haixi Institute, Chinese Academy of Sciences, Xiamen 361021, China
Interests: structural ceramics; high-entropy ceramics; ultrahigh-temperature ceramics; thermal insulation materials

Special Issue Information

Dear Colleagues,

Disordered multicomponent systems, corresponding to the intermediate, unidentified part of the multiphase diagram, were first introduced as promising alloy materials in 2004. By occupying one or more Wyckoff sites in equimolar or near-equimolar ratios with multiple elements, this material design strategy improves the configurational entropy of the system to build a robust, solid solution structure. In 2015, the high-entropy design strategy was extended from alloys to oxide ceramics. Subsequently, more high-entropy ceramic (HEC) systems were extensively reported and exhibited promising performance in wide-ranging technologies, e.g., sensing, energy storage and conversion, catalysis, thermal protection, etc. This Special Issue focuses on the most recent advances in HECs including oxides, nitrides, carbides, borides, etc., for various applications. It will be a good platform to share the recent progress in HECs. We encourage the submission of manuscripts in the form of research articles, short communications, and reviews.

Dr. Bing Wang
Dr. Heng Chen
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Crystals is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • high-entropy ceramics
  • entropy stabilization
  • structural and functional properties
  • solid solution

Published Papers (1 paper)

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Research

16 pages, 6299 KiB  
Article
Machine Learning-Based Prediction of Stability in High-Entropy Nitride Ceramics
by Tianyu Lin, Ruolan Wang and Dazhi Liu
Crystals 2024, 14(5), 429; https://doi.org/10.3390/cryst14050429 - 30 Apr 2024
Viewed by 363
Abstract
The field of materials science has experienced a transformative shift with the emergence of high-entropy materials (HEMs), which possess a unique combination of properties that traditional single-phase materials lack. Among these, high-entropy nitrides (HENs) stand out for their exceptional mechanical strength, thermal stability, [...] Read more.
The field of materials science has experienced a transformative shift with the emergence of high-entropy materials (HEMs), which possess a unique combination of properties that traditional single-phase materials lack. Among these, high-entropy nitrides (HENs) stand out for their exceptional mechanical strength, thermal stability, and resistance to extreme environments, making them highly sought after for applications in aerospace, defense, and energy sectors. Central to the design of these materials is their entropy forming ability (EFA), a measure of a material’s propensity to form a single-phase, disordered structure. This study introduces the application of the sure independence screening and sparsifying operator (SISSO), a machine learning technique, to predict the EFA of HEN ceramics. By utilizing a rich dataset curated from theoretical computational data, SISSO has been trained to identify the most critical features contributing to EFA. The model’s strong interpretability allows for the extraction of complex mathematical expressions, providing deep insights into the material’s composition and its impact on EFA. The predictive performance of the SISSO model is meticulously validated against theoretical benchmarks and compared with other machine learning methodologies, demonstrating its superior accuracy and reliability. This research not only contributes to the growing body of knowledge on HEMs but also paves the way for the efficient discovery and development of new HEN materials with tailored properties for advanced technological applications. Full article
(This article belongs to the Special Issue Advances in High Entropy Ceramics)
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