A Reflectivity Enhanced 3D Optical Storage Nanostructure Application Based on Direct Laser Writing Lithography

Area of Science:

• Nanotechnology
• Optical Engineering
• Materials Science

Background:

• Advancements in optical storage media are crucial for increasing data density.
• Existing methods require improved media structures and readout accuracy.
• Three-dimensional (3D) nanostructures present a promising avenue for novel storage solutions.

Purpose of the Study:

• To propose and evaluate a novel 3D sloppy nanostructure for high-density optical data storage.
• To investigate a reflected spectrum-based readout strategy for stable information retrieval.
• To assess the impact of structural variations and noise on readout accuracy.

Main Methods:

• Fabrication of a 3D sloppy nanostructure using 3D laser direct writing.
• Utilizing a reflected spectrum-based method for information readout.
• Employing an artificial neural network for data decoding with simulated 20% noise.

Main Results:

• The proposed nanostructure achieved a readout accuracy of 99.86% for 120 data sequences.
• Varying the slope and azimuth angles influenced the reflected spectrum.
• Readout accuracy reached 97.25% with a 7.5x smaller storage step, indicating higher density potential.

Conclusions:

• The 3D sloppy nanostructure is a viable candidate for high-density optical storage.
• The reflected spectrum-based readout method, enhanced by artificial neural networks, is robust against noise.
• Further exploration of nanostructures can lead to superior optical storage capabilities.