A review of MAX series materials: from diversity, synthesis, prediction, properties oriented to functions
MAX series materials, as non-van der Waals layered multi-element compounds, contribute remarkable regulated properties and functional dimension, combining the features of metal and ceramic materials due to their inherently laminated crystal structure that Mn+1Xn slabs are intercalated with A element...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer Science and Business Media B.V.
2025
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| Online Access: | http://psasir.upm.edu.my/id/eprint/120021/ http://psasir.upm.edu.my/id/eprint/120021/1/120021.pdf |
| _version_ | 1848868100656594944 |
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| author | Zhang, Jian Jia, Ru Tan, Kar Ban Li, Jiaming Xu, Shichong Ying, Guobing Han, Wenjuan Lu, Ming |
| author_facet | Zhang, Jian Jia, Ru Tan, Kar Ban Li, Jiaming Xu, Shichong Ying, Guobing Han, Wenjuan Lu, Ming |
| author_sort | Zhang, Jian |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | MAX series materials, as non-van der Waals layered multi-element compounds, contribute remarkable regulated properties and functional dimension, combining the features of metal and ceramic materials due to their inherently laminated crystal structure that Mn+1Xn slabs are intercalated with A element layers. Oriented to the functional requirements of information, intelligence, electrification, and aerospace in the new era, how to accelerate MAX series materials into new quality productive forces? The systematic enhancement of knowledge about MAX series materials is intrinsic to understanding its low-dimensional geometric structure characteristics, and physical and chemical properties, revealing the correlation of composition, structure, and function and further realizing rational design based on simulation and prediction. Diversity also brings complexity to MAX materials research. This review provides substantial tabular information on (I) MAX’s research timeline from 1960 to the present, (II) structure diversity and classification convention, (III) synthesis route exploration, (IV) prediction based on theory and machine learning, (V) properties, and (VI) functional applications. Herein, the researchers can quickly locate research content and recognize connections and differences of MAX series materials. In addition, the research challenges for the future development of MAX series materials are highlighted. (Figure presented.) |
| first_indexed | 2025-11-15T14:47:01Z |
| format | Article |
| id | upm-120021 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T14:47:01Z |
| publishDate | 2025 |
| publisher | Springer Science and Business Media B.V. |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-1200212025-09-22T07:18:01Z http://psasir.upm.edu.my/id/eprint/120021/ A review of MAX series materials: from diversity, synthesis, prediction, properties oriented to functions Zhang, Jian Jia, Ru Tan, Kar Ban Li, Jiaming Xu, Shichong Ying, Guobing Han, Wenjuan Lu, Ming MAX series materials, as non-van der Waals layered multi-element compounds, contribute remarkable regulated properties and functional dimension, combining the features of metal and ceramic materials due to their inherently laminated crystal structure that Mn+1Xn slabs are intercalated with A element layers. Oriented to the functional requirements of information, intelligence, electrification, and aerospace in the new era, how to accelerate MAX series materials into new quality productive forces? The systematic enhancement of knowledge about MAX series materials is intrinsic to understanding its low-dimensional geometric structure characteristics, and physical and chemical properties, revealing the correlation of composition, structure, and function and further realizing rational design based on simulation and prediction. Diversity also brings complexity to MAX materials research. This review provides substantial tabular information on (I) MAX’s research timeline from 1960 to the present, (II) structure diversity and classification convention, (III) synthesis route exploration, (IV) prediction based on theory and machine learning, (V) properties, and (VI) functional applications. Herein, the researchers can quickly locate research content and recognize connections and differences of MAX series materials. In addition, the research challenges for the future development of MAX series materials are highlighted. (Figure presented.) Springer Science and Business Media B.V. 2025-03-03 Article PeerReviewed text en cc_by_4 http://psasir.upm.edu.my/id/eprint/120021/1/120021.pdf Zhang, Jian and Jia, Ru and Tan, Kar Ban and Li, Jiaming and Xu, Shichong and Ying, Guobing and Han, Wenjuan and Lu, Ming (2025) A review of MAX series materials: from diversity, synthesis, prediction, properties oriented to functions. Nano-Micro Letters, 17 (1). art. no. 173. pp. 1-42. ISSN 2311-6706; eISSN: 2150-5551 https://link.springer.com/article/10.1007/s40820-025-01673-9?error=cookies_not_supported&code=46e7edbf-2608-42c0-8250-947310e4c069 10.1007/s40820-025-01673-9 |
| spellingShingle | Zhang, Jian Jia, Ru Tan, Kar Ban Li, Jiaming Xu, Shichong Ying, Guobing Han, Wenjuan Lu, Ming A review of MAX series materials: from diversity, synthesis, prediction, properties oriented to functions |
| title | A review of MAX series materials: from diversity, synthesis, prediction, properties oriented to functions |
| title_full | A review of MAX series materials: from diversity, synthesis, prediction, properties oriented to functions |
| title_fullStr | A review of MAX series materials: from diversity, synthesis, prediction, properties oriented to functions |
| title_full_unstemmed | A review of MAX series materials: from diversity, synthesis, prediction, properties oriented to functions |
| title_short | A review of MAX series materials: from diversity, synthesis, prediction, properties oriented to functions |
| title_sort | review of max series materials: from diversity, synthesis, prediction, properties oriented to functions |
| url | http://psasir.upm.edu.my/id/eprint/120021/ http://psasir.upm.edu.my/id/eprint/120021/ http://psasir.upm.edu.my/id/eprint/120021/ http://psasir.upm.edu.my/id/eprint/120021/1/120021.pdf |