Nanostructures fabrication with use of electrical AFM litography - Open Research Data - Bridge of Knowledge

Your account

login

Search

Nanostructures fabrication with use of electrical AFM litography

Description

In the last 10 years, one of the nanotechnological trends has been observed, consisting in the development of new variants of computer memory systems with high capacity and speed of access, using quantum dots. One of the techniques for creating nanodots and other nanostructures is based on the use of an atomic force microscope acting as a lithographic device [1]. By means of AFM electric lithography, it is possible to modify both the geometrical properties of the surface and its electrical properties. For example, by applying a voltage through the conductive probe, it is possible to generate electrochemical processes on the surface, thereby converting the conductor material into a dielectric or vice versa. Examples of literature results indicate the possibility of generating nanoparticles with a diameter of 8-10 nm. This corresponds to an information recording density of 0.6 Tbit / inch2. The collection includes 10 images documenting the formation of lithographic structures and 5 current-voltage curves registered in various areas (base and plotted) of the sample surface. Lithographs were made with a CTD-NCHR conductive probe on the surface of the prosthetic CoCrMo alloy, which turned out to be a substrate susceptible to local lithographic oxidation.

[1] L.G. Rosa, J. Liang, Atomic force microscope nanolithography: dip-pen, nanoshaving, nanografting, tapping mode, electrochemical and thermal nanolithography, J. Phys. Condens. Matter. 21 (2009) 483001. doi:10.1088/0953-8984/21/48/483001.

Dataset file

set14.mdt
1.3 MB, S3 ETag 392b41b920385af0c22fda79d4cf154a-1, downloads: 50
The file hash is calculated from the formula
hexmd5(md5(part1)+md5(part2)+...)-{parts_count} where a single part of the file is 512 MB in size.

Example script for calculation:
https://github.com/antespi/s3md5

File details

License:
Creative Commons: by-nc 4.0 open in new tab
CC BY-NC
Non-commercial
Raw data:
Data contained in dataset was not processed.
Software:
Gwyddion

Details

Year of publication:
2021
Verification date:
2021-05-28
Dataset language:
English
Fields of science:
  • chemical sciences (Natural sciences)
DOI:
DOI ID 10.34808/rgnk-k454 open in new tab
Series:
Verified by:
Gdańsk University of Technology

Keywords

Cite as

Authors

seen 111 times