Graphendofullerene: a novel molecular two-dimensional ferromagnet
Carbon chemistry has attracted a lot of attention from chemists, physicists and material scientists in the last few decades. The recent discovery of graphullerene provides a promising platform for many applications due to its exceptional electronic properties and the possibility to host molecules or clusters inside the fullerene units. Herein, we introduce graphendofullerene, a novel molecular-based two-dimensional (2D) magnetic material formed by trimetallic nitride clusters encapsulated on graphullerene. Through first-principles calculations, we demonstrate the successful incorporation of the molecules into the 2D network formed by C<sub>80</sub> fullerenes, which leads to robust long-range ferromagnetic order with a Curie temperature (<i>T</i> <sub>C</sub>) of 38 K. Additionally, we achieve a 45% and 18% increase in <i>T</i> <sub>C</sub> by strain engineering and electrostatic doping, respectively. These findings open the way for a new family of molecular 2D magnets based on graphendofullerene for advanced technologies.
Authors
- José J. Baldoví (ORCID: https://orcid.org/0000-0002-2277-3974)
- Diego López‐Alcalá (ORCID: https://orcid.org/0000-0001-9906-7798)
- Ziqi Hu (ORCID: https://orcid.org/0000-0003-1830-1584)
Institutions
- University of Science and Technology of China (CN)
- Parc Científic de la Universitat de València (ES)
- Collaborative Innovation Center of Chemistry for Energy Materials (CN)
Publication Details
- Journal
- Chemical Science
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1039/d5sc01278c
- Citations
- 3
- Primary Topic
- Graphene research and applications
- Type
- article
- Field-Weighted Citation Impact
- 1.55
Funders
- National Natural Science Foundation of China
- Generalitat Valenciana
- Data Center of Management Science, National Natural Science Foundation of China - Peking University
- Natural Science Foundation of Anhui Province
- Conselleria de Innovación, Universidades, Ciencia y Sociedad Digital, Generalitat Valenciana
- H2020 European Research Council