Neuromorphic computing based on halide perovskites
Neuromorphic computing requires electronic systems that can perform massively parallel computational tasks with low energy consumption. Such systems have traditionally been based on complementary metal–oxide–semiconductor circuits, but further advances in computational performance will probably requ...
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| Format: | Article |
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Nature Portfolio
2023
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| _version_ | 1811132255798558720 |
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| author | Vasilopoulou, Maria Mohd. Yusoff, Abd. Rashid Chai, Yang Kourtis, Michael Alexandros Matsushima, Toshinori Gasparini, Nicola Du, Rose Gao, Feng Nazeeruddin, Mohammad Khaja Anthopoulos, Thomas D. Noh, Yong Young |
| author_facet | Vasilopoulou, Maria Mohd. Yusoff, Abd. Rashid Chai, Yang Kourtis, Michael Alexandros Matsushima, Toshinori Gasparini, Nicola Du, Rose Gao, Feng Nazeeruddin, Mohammad Khaja Anthopoulos, Thomas D. Noh, Yong Young |
| author_sort | Vasilopoulou, Maria |
| collection | ePrints |
| description | Neuromorphic computing requires electronic systems that can perform massively parallel computational tasks with low energy consumption. Such systems have traditionally been based on complementary metal–oxide–semiconductor circuits, but further advances in computational performance will probably require devices that can offer high-order complexity combined with area and energy efficiency. Halide perovskites can handle both ions and electronic charges, and could be used to create adaptive computing systems based on intrinsic device dynamics. The materials also offer exotic switching phenomena, providing opportunities for multimodal systems. Here we explore the development of neuromorphic hardware systems based on halide perovskites. We examine how devices based on these materials can serve as synapses and neurons, and can be used in neuromorphic computing networks. We also consider the challenges involved in developing practical perovskite neuromorphic systems, and highlight how these systems could augment and complement digital circuits. |
| first_indexed | 2024-09-24T00:00:24Z |
| format | Article |
| id | utm.eprints-106028 |
| institution | Universiti Teknologi Malaysia - ePrints |
| last_indexed | 2024-09-24T00:00:24Z |
| publishDate | 2023 |
| publisher | Nature Portfolio |
| record_format | dspace |
| spelling | utm.eprints-1060282024-05-29T06:38:46Z http://eprints.utm.my/106028/ Neuromorphic computing based on halide perovskites Vasilopoulou, Maria Mohd. Yusoff, Abd. Rashid Chai, Yang Kourtis, Michael Alexandros Matsushima, Toshinori Gasparini, Nicola Du, Rose Gao, Feng Nazeeruddin, Mohammad Khaja Anthopoulos, Thomas D. Noh, Yong Young QC Physics Neuromorphic computing requires electronic systems that can perform massively parallel computational tasks with low energy consumption. Such systems have traditionally been based on complementary metal–oxide–semiconductor circuits, but further advances in computational performance will probably require devices that can offer high-order complexity combined with area and energy efficiency. Halide perovskites can handle both ions and electronic charges, and could be used to create adaptive computing systems based on intrinsic device dynamics. The materials also offer exotic switching phenomena, providing opportunities for multimodal systems. Here we explore the development of neuromorphic hardware systems based on halide perovskites. We examine how devices based on these materials can serve as synapses and neurons, and can be used in neuromorphic computing networks. We also consider the challenges involved in developing practical perovskite neuromorphic systems, and highlight how these systems could augment and complement digital circuits. Nature Portfolio 2023-12 Article PeerReviewed Vasilopoulou, Maria and Mohd. Yusoff, Abd. Rashid and Chai, Yang and Kourtis, Michael Alexandros and Matsushima, Toshinori and Gasparini, Nicola and Du, Rose and Gao, Feng and Nazeeruddin, Mohammad Khaja and Anthopoulos, Thomas D. and Noh, Yong Young (2023) Neuromorphic computing based on halide perovskites. Nature Electronics, 6 (12). pp. 949-962. ISSN 2520-1131 http://dx.doi.org/10.1038/s41928-023-01082-z DOI:10.1038/s41928-023-01082-z |
| spellingShingle | QC Physics Vasilopoulou, Maria Mohd. Yusoff, Abd. Rashid Chai, Yang Kourtis, Michael Alexandros Matsushima, Toshinori Gasparini, Nicola Du, Rose Gao, Feng Nazeeruddin, Mohammad Khaja Anthopoulos, Thomas D. Noh, Yong Young Neuromorphic computing based on halide perovskites |
| title | Neuromorphic computing based on halide perovskites |
| title_full | Neuromorphic computing based on halide perovskites |
| title_fullStr | Neuromorphic computing based on halide perovskites |
| title_full_unstemmed | Neuromorphic computing based on halide perovskites |
| title_short | Neuromorphic computing based on halide perovskites |
| title_sort | neuromorphic computing based on halide perovskites |
| topic | QC Physics |
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