Data

Data from: High-capacity optical long data memory based on enhanced Young’s modulus in nanoplasmonic hybrid glass composites

RMIT University, Australia
Professor Min Gu (Associated with, Aggregated by)
Viewed: [[ro.stat.viewed]] Cited: [[ro.stat.cited]] Accessed: [[ro.stat.accessed]]
ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft.title=Data from: High-capacity optical long data memory based on enhanced Young’s modulus in nanoplasmonic hybrid glass composites&rft.identifier=c0ecd058edf6d5b3a03565e8354828d6&rft.publisher=RMIT University, Australia&rft.description=Data relating to the conclusions not included in the paper can be requested from the author Min Gu, from RMIT's Laboratory of Artificial Intelligence Nanophotonics, at [email protected] Abstract Emerging as an inevitable outcome of the big data era, long data are the massive amount of data that captures changes in the real world over a long period of time. In this context, recording and reading the data of a few terabytes in a single storage device repeatedly with a century-long unchanged baseline is in high demand. Here, we demonstrate the concept of optical long data memory with nanoplasmonic hybrid glass composites. Through the sintering-free incorporation of nanorods into the earth abundant hybrid glass composite, Young’s modulus is enhanced by one to two orders of magnitude. This discovery, enabling reshaping control of plasmonic nanoparticles of multiple-length allows for continuous multi-level recording and reading with a capacity over 10 terabytes with no appreciable change of the baseline over 600 years, which opens new opportunities for long data memory that affects the past and future.&rft.creator=Professor Min Gu&rft.date=2018&rft.relation=http://dx.doi.org/10.1038/s41467-018-03589-y&rft_rights=All rights reserved&rft_rights=CC BY-NC: Attribution-Noncommercial 3.0 AU http://creativecommons.org/licenses/by-nc/3.0/au&rft_subject=Nanoparticles&rft_subject=Nanophotonics and plasmonics&rft_subject=Optical data storage&rft_subject=Biomedical Engineering not elsewhere classified&rft_subject=ENGINEERING&rft_subject=BIOMEDICAL ENGINEERING&rft.type=dataset&rft.language=English Access the data

Please use the contact information below to request access to this data.

Contact Information

Held by data owner

Licence & Rights:

Other view details
Unknown

CC BY-NC: Attribution-Noncommercial 3.0 AU
http://creativecommons.org/licenses/by-nc/3.0/au

All rights reserved

Access:

Other view details

Data available from Min Gu, from RMIT's Laboratory of Artificial Intelligence Nanophotonics, at [email protected]

Full description

Data relating to the conclusions not included in the paper can be requested from the author Min Gu, from RMIT's Laboratory of Artificial Intelligence Nanophotonics, at [email protected] Abstract Emerging as an inevitable outcome of the big data era, long data are the massive amount of data that captures changes in the real world over a long period of time. In this context, recording and reading the data of a few terabytes in a single storage device repeatedly with a century-long unchanged baseline is in high demand. Here, we demonstrate the concept of optical long data memory with nanoplasmonic hybrid glass composites. Through the sintering-free incorporation of nanorods into the earth abundant hybrid glass composite, Young’s modulus is enhanced by one to two orders of magnitude. This discovery, enabling reshaping control of plasmonic nanoparticles of multiple-length allows for continuous multi-level recording and reading with a capacity over 10 terabytes with no appreciable change of the baseline over 600 years, which opens new opportunities for long data memory that affects the past and future.

This dataset is part of a larger collection

Click to explore relationships graph
Subjects

User Contributed Tags    

Login to tag this record with meaningful keywords to make it easier to discover

Identifiers
  • Local : c0ecd058edf6d5b3a03565e8354828d6
ACN 633 798 857