Neuromorphic Photonic Devices and Applications
Language: English
Published by Elsevier Inc Dez 2023, 2023
- Softcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
AbeBooks seller since August 14, 2006
Condition: New
£ 412.96
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Add to basketItem description from seller
Neuware - Neuromorphic Photonic Devices and Applications synthesizes in one volume the most critical advances in photonic neuromorphic models, photonic material platforms, and accelerators for neuromorphic computing. It discusses fields and applications that can leverage these new platforms. A brief review of the historical development of the field is provided followed by a discussion of the emerging 2D photonic materials platforms and recent work in implementing neuromorphic models and 3D neuromorphic systems. The application of artificial intelligence such as neuromorphic models to inverse design neuromorphic materials and devices and predict performance challenges is discussed throughout. The book includes a comprehensive overview of the applications of neuromorphic photonic technologies and the challenges, opportunities, and future prospects facing the field. Neuromorphic Photonic Devices and Applications is suitable for researchers and practitioners in academia and R&D in the multi-disciplinary field of photonics.…
Seller Inventory # 9780323988292
- Title
- Neuromorphic Photonic Devices and Applications
- Author
- Mi Gu
- Publisher
- Elsevier Inc Dez 2023
- Publication year
- 2023
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 10
- 0323988296
- ISBN 13
- 9780323988292
- Item weight
- 552 grams
- Dimensions
- 229x152x22 mm
A brief review of the historical development of the field is provided followed by a discussion of the emerging 2D photonic materials platforms and recent work in implementing neuromorphic models and 3D neuromorphic systems. The application of artificial intelligence such as neuromorphic models to inverse design neuromorphic materials and devices and predict performance challenges is discussed throughout. The book includes a comprehensive overview of the applications of neuromorphic photonic technologies and the challenges, opportunities, and future prospects facing the field.
Neuromorphic Photonic Devices and Applications is suitable for researchers and practitioners in academia and R&D in the multi-disciplinary field of photonics.
Approx.480 pages
"Synopsis" may belong to another edition of this title.
About the Author
Elena Goi received her B.S. and M.S. in physics from the University of Trieste. In 2018 she was awarded her Ph.D. from RMIT University, Australia, under the supervision of Prof. Min Gu. She is now an early career researcher at USST, Shanghai, China. Her current research includes the development and implementation of hybrid three-dimensional (3D) nanolithographic techniques that enable the study of novel 3D optical materials and architectures for optical neural networks.
Dr Wang received her B.S. in Biomedical Engineering from Changzhi Medical College and M.S. in Communication and Information Engineering from Northwestern Polytechnical University. In 2017 she was received her Ph.D. in Theoretical Physics from Free University, Amsterdam, under the supervision of Prof. Emil Wolf and Prof. Taco D. Visser. She is now an early career researcher at USST, Shanghai, China. Her current research includes the development of nanoscopic imaging techniques and its implementation in neuroscience for the development of nanophotonics chip
Dr. Wan received his B.S. degree in Physics from Xinjiang University and M.S. degree in Physics from Zhejiang University in 2008 and 2010, respectively. After graduated from Zhejiang University, he worked about 6 years as engineer in the industry field of semiconductor devices. He pursued his Ph.D. at Griffith University, Australia, since 2016. After submitted the thesis in 2019, he got the research fellow position in Griffith University. In 2020, he received the Doctor’s degree and joined Prof. Min Gu’s research group as postdoctor at University of Shanghai for Science and Technology.
Dr Dong received his B.S. in electronics from the University of Shanghai for Science and Technology. In 2020 he earned Ph.D. degree in electronics from Beijing University of Technology with a research focus on graphene optoelectronic devices and graphene growth. He joined the Centre for Artificial-Intelligence Nanophotonics established by Prof. Min Gu in summer 2020. His current research interest is to develop novel optical diffraction neural network based on two dimensional materials enabled by laser direct writing.
"About the title" may belong to another edition of this title.
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