Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 김태환 | - |
dc.date.accessioned | 2021-07-08T07:08:24Z | - |
dc.date.available | 2021-07-08T07:08:24Z | - |
dc.date.issued | 2020-03 | - |
dc.identifier.citation | ADVANCED FUNCTIONAL MATERIALS, v. 30, no. 11, article no. 1908901 | en_US |
dc.identifier.issn | 1616-301X | - |
dc.identifier.issn | 1616-3028 | - |
dc.identifier.uri | https://onlinelibrary.wiley.com/doi/full/10.1002/adfm.201908901 | - |
dc.identifier.uri | https://repository.hanyang.ac.kr/handle/20.500.11754/162728 | - |
dc.description.abstract | Simulating the human brain for neuromorphic computing has attractive prospects in the field of artificial intelligence. Optoelectronic synapses have been considered to be important cornerstones of neuromorphic computing due to their ability to process optoelectronic input signals intelligently. In this work, optoelectronic synapses based on all-inorganic perovskite nanoplates are fabricated, and the electronic and photonic synaptic plasticity is investigated. Versatile synaptic functions of the nervous system, including paired-pulse facilitation, short-term plasticity, long-term plasticity, transition from short- to long-term memory, and learning-experience behavior, are successfully emulated. Furthermore, the synapses exhibit a unique memory backtracking function that can extract historical optoelectronic information. This work could be conducive to the development of artificial intelligence and inspire more research on optoelectronic synapses. | en_US |
dc.description.sponsorship | This work was supported by the National Key Research and Development Program of China (No. 2016YFB0401600) and by the National Natural Science Foundation of China (No. U1605244). This research was also supported by the Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education, Science and Technology (No. 2019R1A2B5B03069968). | en_US |
dc.language.iso | en | en_US |
dc.publisher | WILEY-V C H VERLAG GMBH | en_US |
dc.subject | all-inorganic perovskite nanoplate | en_US |
dc.subject | artificial intelligence | en_US |
dc.subject | memory backtracking | en_US |
dc.subject | neuromorphic computing | en_US |
dc.subject | optoelectronic synapse | en_US |
dc.title | Optoelectronic Perovskite Synapses for Neuromorphic Computing | en_US |
dc.type | Article | en_US |
dc.relation.no | 11 | - |
dc.relation.volume | 30 | - |
dc.identifier.doi | 10.1002/adfm.201908901 | - |
dc.relation.page | 1-9 | - |
dc.relation.journal | ADVANCED FUNCTIONAL MATERIALS | - |
dc.contributor.googleauthor | Ma, Fumin | - |
dc.contributor.googleauthor | Zhu, Yangbin | - |
dc.contributor.googleauthor | Xu, Zhongwei | - |
dc.contributor.googleauthor | Liu, Yang | - |
dc.contributor.googleauthor | Zheng, Xiaojing | - |
dc.contributor.googleauthor | Ju, Songman | - |
dc.contributor.googleauthor | Li, Qianqian | - |
dc.contributor.googleauthor | Ni, Ziquan | - |
dc.contributor.googleauthor | Hu, Hailong | - |
dc.contributor.googleauthor | Kim, Tae Whan | - |
dc.relation.code | 2020049013 | - |
dc.sector.campus | S | - |
dc.sector.daehak | COLLEGE OF ENGINEERING[S] | - |
dc.sector.department | DEPARTMENT OF ELECTRONIC ENGINEERING | - |
dc.identifier.pid | twk | - |
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