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Feb 1, 2021 -
Image reconstruction through a multimode fiber with a simple neural network architecture
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MD5: 4adf14d11afae5c784724276b38ccf90
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Feb 1, 2021 -
Image reconstruction through a multimode fiber with a simple neural network architecture
Fixed Field Text Data - 1.2 KB -
MD5: 3f579560a4131d7a33780fb381c13abb
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Feb 1, 2021 -
Image reconstruction through a multimode fiber with a simple neural network architecture
Fixed Field Text Data - 1.2 KB -
MD5: 8e15554325e842131ac408a91ebafea4
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Feb 1, 2021 -
Image reconstruction through a multimode fiber with a simple neural network architecture
Fixed Field Text Data - 1.2 KB -
MD5: 3056d6863a3ca5304e611d67d565c994
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Feb 1, 2021 -
Image reconstruction through a multimode fiber with a simple neural network architecture
Fixed Field Text Data - 1.2 KB -
MD5: 42a61a4445a77c91da999d72136c5581
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Feb 1, 2021 -
Image reconstruction through a multimode fiber with a simple neural network architecture
Plain Text - 906 B -
MD5: db3534d2755acff9043f3a6f04c00db4
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Feb 1, 2021Centre for Disruptive Photonic Technologies (CDPT)
This package contains the experimental dataset for Zhu et. al, Scientific Reports 11, 896 (2021) "Image reconstruction through a multimode fiber with a simple neural network architecture". |
Jan 20, 2021
Appointment: Professor Research topics: Development of terahertz, infrared, and optical metamaterial based active and passive plasmonic devices. |
Dec 19, 2020 - RAMESH Sankaran
Ramesh, Sankaran, 2020, "Replication Data for: The Physics of Interlayer Exciton Delocalization in Ruddlesden Popper Lead Halide Perovskites", https://doi.org/10.21979/N9/OIYOW1, DR-NTU (Data), V2
Abstract: Two-dimensional (2D) lead halide Ruddlesden-Popper perovskites (RPP) recently emerged as a prospective material system for optoelectronic applications. Their self-assembled multi quantum-well structure gives rise to the novel inter-well energy funnelling phenomenon, whi... |
