MXene Nanoflakes Enabled All‐Optical Nonlinear Activation Function for On‐Chip Photonic Deep Neural Networks

Journal article

Open access

Peer reviewed

Adir Hazan, Barak Ratzker, Danzhen Zhang, Aviad Katiyi, Maxim Sokol, Yury Gogotsi and Alina Karabchevsky

Advanced materials (Weinheim), p2210216

14 Jan 2023

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https://doi.org/10.1002/adma.202210216View

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Title: MXene Nanoflakes Enabled All‐Optical Nonlinear Activation Function for On‐Chip Photonic Deep Neural Networks
Creators: Adir Hazan - Ben-Gurion University of the Negev
Barak Ratzker - Tel Aviv University
Danzhen Zhang - Drexel University
Aviad Katiyi - Ben-Gurion University of the Negev
Maxim Sokol - Tel Aviv University
Yury Gogotsi - Drexel University
Alina Karabchevsky - Ben-Gurion University of the Negev
Publication Details: Advanced materials (Weinheim), p2210216
Publisher: Wiley
Resource Type: Journal article
Language: English
Academic Unit: Materials Science and Engineering; A.J. Drexel Nanomaterials Institute
Web of Science ID: WOS:000921564000001
Scopus ID: 2-s2.0-85146933064
Other Identifier: 991019641907004721

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Collaboration types: Domestic collaboration; International collaboration
Web of Science research areas: Chemistry, Multidisciplinary; Chemistry, Physical; Materials Science, Multidisciplinary; Nanoscience & Nanotechnology; Physics, Applied; Physics, Condensed Matter