{"title":"MXenes and its composite structures: synthesis, properties, applications, 3D/4D printing, and artificial intelligence; machine learning integration","authors":"Vimukthi Dananjaya, Nethmi Hansika, Sathish Marimuthu, Venkata Chevali, Yogendra Kumar Mishra, Andrews Nirmala Grace, Nisa Salim, Chamil Abeykoon","doi":"10.1016/j.pmatsci.2025.101433","DOIUrl":null,"url":null,"abstract":"MXenes, a revolutionary class of two-dimensional transition metal carbides and nitrides, have emerged as exceptional materials for advanced composite applications due to their remarkable properties. MXene-based composites exhibit electrical conductivities exceeding 15,000 S/cm, thermal conductivities up to 60 W/m·K, and mechanical strengths surpassing 500 MPa, making them ideal for applications in energy storage, aerospace, and biomedical engineering. This review explores the synthesis of MXene-filled composites via chemical etching, intercalation (enhancing layer spacing by 20–50%), and functionalization (improving compatibility by 70%), and highlights how these processes shape the material’s properties. Applications are discussed, including lithium-ion batteries with capacities exceeding 300 mAh/g and supercapacitors achieving energy densities over 60 Wh/kg. Furthermore, the integration of MXene composites into 3D printing technology enables resolutions as fine as 100 microns, offering unprecedented customization and precision in manufacturing. Machine learning plays a pivotal role in optimizing synthesis protocols, accelerating material discovery by 30–50%, and achieving predictive modeling accuracies above 90%, thereby revolutionizing the design and performance of MXene-based materials. This review will also presents a data-driven perspective on the synthesis, properties, and applications of MXene-filled composites, bridging advanced research and practical innovation to inspire transformative advancements across multiple industries.","PeriodicalId":411,"journal":{"name":"Progress in Materials Science","volume":"1 1","pages":""},"PeriodicalIF":33.6000,"publicationDate":"2025-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Progress in Materials Science","FirstCategoryId":"88","ListUrlMain":"https://doi.org/10.1016/j.pmatsci.2025.101433","RegionNum":1,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MATERIALS SCIENCE, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
MXenes, a revolutionary class of two-dimensional transition metal carbides and nitrides, have emerged as exceptional materials for advanced composite applications due to their remarkable properties. MXene-based composites exhibit electrical conductivities exceeding 15,000 S/cm, thermal conductivities up to 60 W/m·K, and mechanical strengths surpassing 500 MPa, making them ideal for applications in energy storage, aerospace, and biomedical engineering. This review explores the synthesis of MXene-filled composites via chemical etching, intercalation (enhancing layer spacing by 20–50%), and functionalization (improving compatibility by 70%), and highlights how these processes shape the material’s properties. Applications are discussed, including lithium-ion batteries with capacities exceeding 300 mAh/g and supercapacitors achieving energy densities over 60 Wh/kg. Furthermore, the integration of MXene composites into 3D printing technology enables resolutions as fine as 100 microns, offering unprecedented customization and precision in manufacturing. Machine learning plays a pivotal role in optimizing synthesis protocols, accelerating material discovery by 30–50%, and achieving predictive modeling accuracies above 90%, thereby revolutionizing the design and performance of MXene-based materials. This review will also presents a data-driven perspective on the synthesis, properties, and applications of MXene-filled composites, bridging advanced research and practical innovation to inspire transformative advancements across multiple industries.
期刊介绍:
Progress in Materials Science is a journal that publishes authoritative and critical reviews of recent advances in the science of materials. The focus of the journal is on the fundamental aspects of materials science, particularly those concerning microstructure and nanostructure and their relationship to properties. Emphasis is also placed on the thermodynamics, kinetics, mechanisms, and modeling of processes within materials, as well as the understanding of material properties in engineering and other applications.
The journal welcomes reviews from authors who are active leaders in the field of materials science and have a strong scientific track record. Materials of interest include metallic, ceramic, polymeric, biological, medical, and composite materials in all forms.
Manuscripts submitted to Progress in Materials Science are generally longer than those found in other research journals. While the focus is on invited reviews, interested authors may submit a proposal for consideration. Non-invited manuscripts are required to be preceded by the submission of a proposal. Authors publishing in Progress in Materials Science have the option to publish their research via subscription or open access. Open access publication requires the author or research funder to meet a publication fee (APC).
Abstracting and indexing services for Progress in Materials Science include Current Contents, Science Citation Index Expanded, Materials Science Citation Index, Chemical Abstracts, Engineering Index, INSPEC, and Scopus.