0 Datasets
0 Files
Get instant academic access to this publication’s datasets.
Yes. After verification, you can browse and download datasets at no cost. Some premium assets may require author approval.
Files are stored on encrypted storage. Access is restricted to verified users and all downloads are logged.
Yes, message the author after sign-up to request supplementary files or replication code.
Join 50,000+ researchers worldwide. Get instant access to peer-reviewed datasets, advanced analytics, and global collaboration tools.
✓ Immediate verification • ✓ Free institutional access • ✓ Global collaborationJoin our academic network to download verified datasets and collaborate with researchers worldwide.
Get Free AccessTwo-dimensional MXenes have attracted significant interest for nanophotonic and optoelectronic applications due to their unique optical properties. However, tailoring these properties often requires iterative synthesis of MXenes with specific characteristics, such as electronic conductivity, absorption band position, and dielectric permittivity. Here, we present a simple and effective method to tune the dielectric permittivity of MXene thin films by mixing two distinct MXenes: optically metallic Ti₃C₂Tₓ and dielectric Nb₂CTₓ. By controlling the film composition, we achieve a shift of key spectral features. For example, the wavelength at which the optical properties of the film transition from dielectric to metallic, or epsilon near zero (ENZ) point, is continuously tailored over a broad spectral range from 1.1 to 2.6µm. This approach offers a straightforward and scalable alternative to conventional synthesis-based tuning methods, providing a versatile platform for engineering MXene-based optical materials.
Kyu Ri Choi, Jeffrey Simon, Stefano Ippolito, Ludmila J. Prokopeva, Colton Fruhling, Vladimir M. Shalaev, Alexander V. Kildishev, Yury Gogotsi, Alexandra Boltasseva, Yury Gogotsi (2025). Tailoring the optical response of mixed 2D transition metal carbide and nitride (MXenes) thin films. , DOI: https://doi.org/10.1117/12.3065361.
Datasets shared by verified academics with rich metadata and previews.
Authors choose access levels; downloads are logged for transparency.
Students and faculty get instant access after verification.
Type
Article
Year
2025
Authors
10
Datasets
0
Total Files
0
Language
en
DOI
https://doi.org/10.1117/12.3065361
Access datasets from 50,000+ researchers worldwide with institutional verification.
Get Free Access