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Deep empirical neural network for optical phase retrieval over a scattering medium

Deep empirical neural network for optical phase retrieval over a scattering medium

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_747f7a7b3fad4ba9bde0923c8bcf65fe

Deep empirical neural network for optical phase retrieval over a scattering medium

About this item

Full title

Deep empirical neural network for optical phase retrieval over a scattering medium

Publisher

London: Nature Publishing Group UK

Journal title

Nature communications, 2025-02, Vol.16 (1), p.1369-9, Article 1369

Language

English

Formats

Publication information

Publisher

London: Nature Publishing Group UK

More information

Scope and Contents

Contents

Supervised learning, a popular tool in modern science and technology, thrives on huge amounts of labeled data. Physics-enhanced deep neural networks offer an effective solution to alleviate the data burden by incorporating an analytical model that interprets the underlying physical processes. However, it completely fails in tackling systems without...

Alternative Titles

Full title

Deep empirical neural network for optical phase retrieval over a scattering medium

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_747f7a7b3fad4ba9bde0923c8bcf65fe

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_747f7a7b3fad4ba9bde0923c8bcf65fe

Other Identifiers

ISSN

2041-1723

E-ISSN

2041-1723

DOI

10.1038/s41467-025-56522-5

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