AI Article Synopsis
- The study focuses on improving the holographic recording speed of phenanthraquinone-doped poly(methyl methacrylate) (PQ/PMMA) by introducing N-methylpyrrolidone (NMP), which enhances photosensitivity and reduces volume shrinkage.
- The new NMP-PQ/PMMA photopolymer achieves 6.9 times higher photosensitivity, increased diffraction efficiency (from 60% to over 80%), and decreases volume shrinkage by half.
- NMP is shown to lower the molecular weight of PMMA and improve the solubility of PQ, allowing for repeated data recording at least six times, indicating a significant advancement in holographic data storage technology
Article Abstract
The low photosensitivity of phenanthraquinone-doped poly(methyl methacrylate) (PQ/PMMA) severely limits its recording speed for holographic data storage. A high-performance holographic recording medium based on a unique combination of -methylpyrrolidone (NMP) regulated PQ/PMMA has been developed. A NMP-PQ/PMMA photopolymer with high sensitivity, high diffraction efficiency and negligible volume shrinkage was successfully fabricated by tuning the composition of the PMMA matrix by varying the ratio of NMP to monomers. The photosensitivity is increased by 6.9 times (from 0.27 cm J to 1.86 cm J), the diffraction efficiency is increased from 60% to > 80%, and volume shrinkage is decreased by a factor of 2 (from 0.4% to 0.2%). Further investigation revealed that the addition of NMP significantly reduced the molecular weight of PMMA and increased the amount of MMA residuals, while also improving the solubility of PQ molecules. More interestingly, for the first time, the NMP-PQ/PMMA material could record data information repeatedly at least 6 times. The present study elucidates that the introduction of NMP not only modulates the molecular weight of PMMA but also enables the residual monomer MMA to more easily combine with PQ to form a photoproduct for improved holographic performance.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1039/d3mh01729j | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Investigating the link between a layer thickness and surface relief depth in an azo poly(ether imide).
Sci Rep
January 2025
Faculty of Physics, Warsaw University of Technology, 75 Koszykowa Str., 00-662, Warszawa, Poland.
Surface relief grating formation in photo-responsive azo polymers under irradiation is a long-ago-found phenomenon, but all the factors governing its efficiency are still not fully recognized. Here, we report on the enormous impact of the polymer thickness on the possibility of fabrication of extremely high-amplitude surface deformations. We performed prolonged holographic recordings on the layers of the same azobenzene poly(ether imide), which had substantially different optical transmittances at the recording wavelength and revealed that the depths of the inscribed relief structures increased with the polymer thickness from a nondetectable value up to almost 2 µm, unaffected by the presence of a polymer-glass substrate interface in either sample.
View Article and Find Full Text PDFNon-contact lensless holographic reconstruction of diffractive intraocular lenses profiles.
Sci Rep
January 2025
Faculty of Physics, Department of Optics and Optometry and Vision Sciences, Universitat de València, Burjassot, Spain.
A lensless compact arrangement based on digital in-line holography under Gabor's regime is proposed as a novel contactless method to assess the profile of multifocal intraocular lenses (MIOLs) which are conformed by several diffractive rings. Diffractive MIOLs are a widely adopted ophthalmologic option for the correction of presbyopia in patients undergoing cataract surgery. The MIOL optical design might introduce non-negligible optical performance differences between lenses as well as the introduction of undesirable photic phenomena (such as halos and glare) affecting the vision of users.
View Article and Find Full Text PDFChirality-Free Full Decoupling of Jones Matrix Phase-Channels with a Planar Minimalist Metasurface.
Nano Lett
January 2025
Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China.
The complete manipulation of Jones matrix phase-channels using metasurfaces brings forth unparalleled possibilities across diverse wavefront modulation applications. Traditionally, achieving independent control over all four phase-channels usually involves the introduction of chirality with multilayer or three-dimensional metasurfaces. Here, we present a general chirality-free method that relies on polarization base transformation with a planar minimalist metasurface, effectively decoupling the four Jones matrix phase-channels, thereby unleashing the fundamental boundaries imposed by conventional linear or circular polarization bases.
View Article and Find Full Text PDFModelling neural probabilistic computation using vector symbolic architectures.
Cogn Neurodyn
December 2024
Centre for Theoretical Neuroscience, University of Waterloo, 200 University Ave., Waterloo, ON N2L 3G1 Canada.
Distributed vector representations are a key bridging point between connectionist and symbolic representations in cognition. It is unclear how uncertainty should be modelled in systems using such representations. In this paper we discuss how bundles of symbols in certain Vector Symbolic Architectures (VSAs) can be understood as defining an object that has a relationship to a probability distribution, and how statements in VSAs can be understood as being analogous to probabilistic statements.
View Article and Find Full Text PDFHolographic-(V)AE: An end-to-end SO(3)-equivariant (variational) autoencoder in Fourier space.
Phys Rev Res
April 2024
Department of Physics, University of Washington, 3910 15th Avenue Northeast, Seattle, Washington 98195, USA.
Group-equivariant neural networks have emerged as an efficient approach to model complex data, using generalized convolutions that respect the relevant symmetries of a system. These techniques have made advances in both the supervised learning tasks for classification and regression, and the unsupervised tasks to generate new data. However, little work has been done in leveraging the symmetry-aware expressive representations that could be extracted from these approaches.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!