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A soft photopolymer cuboid that computes with binary strings of white light
Next-generation stimuli–responsive materials must be configured with local computational ability so that instead of a discrete on-off responsiveness, they sense, process and interact reciprocally with environmental stimuli. Because of their varied architectures and tunable responsiveness to a range...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6534534/ https://www.ncbi.nlm.nih.gov/pubmed/31127099 http://dx.doi.org/10.1038/s41467-019-10166-4 |
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author | Hudson, Alexander D. Ponte, Matthew R. Mahmood, Fariha Pena Ventura, Thomas Saravanamuttu, Kalaichelvi |
author_facet | Hudson, Alexander D. Ponte, Matthew R. Mahmood, Fariha Pena Ventura, Thomas Saravanamuttu, Kalaichelvi |
author_sort | Hudson, Alexander D. |
collection | PubMed |
description | Next-generation stimuli–responsive materials must be configured with local computational ability so that instead of a discrete on-off responsiveness, they sense, process and interact reciprocally with environmental stimuli. Because of their varied architectures and tunable responsiveness to a range of physical and chemical stimuli, polymers hold particular promise in the generation of such “materials that compute”. Here, we present a photopolymer cuboid that autonomously performs pattern recognition and transfer, volumetric encoding and binary arithmetic with incandescent beams. The material’s nonlinear response to incident beams generates one, two or three mutually orthogonal ensembles of white-light filaments, which respectively self-organize into disordered, 1-D and 2-D periodic geometries. Data input as binary (dark-bright) strings generate a unique distribution of filament geometries, which corresponds to the result of a specific operation. The working principles of this material that computes with light is transferrable to other nonlinear systems and incoherent sources including light emitting diodes. |
format | Online Article Text |
id | pubmed-6534534 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-65345342019-05-28 A soft photopolymer cuboid that computes with binary strings of white light Hudson, Alexander D. Ponte, Matthew R. Mahmood, Fariha Pena Ventura, Thomas Saravanamuttu, Kalaichelvi Nat Commun Article Next-generation stimuli–responsive materials must be configured with local computational ability so that instead of a discrete on-off responsiveness, they sense, process and interact reciprocally with environmental stimuli. Because of their varied architectures and tunable responsiveness to a range of physical and chemical stimuli, polymers hold particular promise in the generation of such “materials that compute”. Here, we present a photopolymer cuboid that autonomously performs pattern recognition and transfer, volumetric encoding and binary arithmetic with incandescent beams. The material’s nonlinear response to incident beams generates one, two or three mutually orthogonal ensembles of white-light filaments, which respectively self-organize into disordered, 1-D and 2-D periodic geometries. Data input as binary (dark-bright) strings generate a unique distribution of filament geometries, which corresponds to the result of a specific operation. The working principles of this material that computes with light is transferrable to other nonlinear systems and incoherent sources including light emitting diodes. Nature Publishing Group UK 2019-05-24 /pmc/articles/PMC6534534/ /pubmed/31127099 http://dx.doi.org/10.1038/s41467-019-10166-4 Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Hudson, Alexander D. Ponte, Matthew R. Mahmood, Fariha Pena Ventura, Thomas Saravanamuttu, Kalaichelvi A soft photopolymer cuboid that computes with binary strings of white light |
title | A soft photopolymer cuboid that computes with binary strings of white light |
title_full | A soft photopolymer cuboid that computes with binary strings of white light |
title_fullStr | A soft photopolymer cuboid that computes with binary strings of white light |
title_full_unstemmed | A soft photopolymer cuboid that computes with binary strings of white light |
title_short | A soft photopolymer cuboid that computes with binary strings of white light |
title_sort | soft photopolymer cuboid that computes with binary strings of white light |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6534534/ https://www.ncbi.nlm.nih.gov/pubmed/31127099 http://dx.doi.org/10.1038/s41467-019-10166-4 |
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