High-capacity optical long data memory based on enhanced Young’s modulus in nanoplasmonic hybrid glass composites
Storing and reading data for long periods of time is of huge interest. Here, the authors demonstrate long optical data memory with nanoplasmonic hybrid glass composites. They show continuous multi-level recording and reading with a capacity over 10 terabytes with no change of the baseline over 600 y...
Guardado en:
Autores principales: | Qiming Zhang, Zhilin Xia, Yi-Bing Cheng, Min Gu |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Nature Portfolio
2018
|
Materias: | |
Acceso en línea: | https://doaj.org/article/d1184b55741b48fe85761a278a06a337 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Machine learning assisted prediction of the Young’s modulus of compositionally complex alloys
por: Hrishabh Khakurel, et al.
Publicado: (2021) -
Silicon-Based Optoelectronics Enhanced by Hybrid Plasmon Polaritons: Bridging Dielectric Photonics and Nanoplasmonics
por: Pengfei Sun, et al.
Publicado: (2021) -
Performance metrics and enabling technologies for nanoplasmonic biosensors
por: Sang-Hyun Oh, et al.
Publicado: (2018) -
Aperiodic nanoplasmonic devices for directional colour filtering and sensing
por: Matthew S. Davis, et al.
Publicado: (2017) -
Effective Young’s Modulus Estimation of Natural Fibers through Micromechanical Models: The Case of Henequen Fibers Reinforced-PP Composites
por: Ferran Serra-Parareda, et al.
Publicado: (2021)