Multilayer Reservoir Computing Based on Ferroelectric α‐In<sub>2</sub>Se<sub>3</sub> for Hierarchical Information Processing (Adv. Mater. 48/2022)

Advanced MaterialsVolume 34, Issue 48 2270333 FrontispieceFree Access Multilayer Reservoir Computing Based on Ferroelectric α-In2Se3 for Hierarchical Information Processing (Adv. Mater. 48/2022) Keqin Liu, Keqin Liu Key Laboratory of Microelectronic Devices and Circuits (MOE), School of Integrated Circuits, Peking University, Beijing, 100871 ChinaSearch for more papers by this authorBingjie Dang, Bingjie Dang Key Laboratory of Microelectronic Devices and Circuits (MOE), School of Integrated Circuits, Peking University, Beijing, 100871 ChinaSearch for more papers by this authorTeng Zhang, Teng Zhang Key Laboratory of Microelectronic Devices and Circuits (MOE), School of Integrated Circuits, Peking University, Beijing, 100871 ChinaSearch for more papers by this authorZhen Yang, Zhen Yang Key Laboratory of Microelectronic Devices and Circuits (MOE), School of Integrated Circuits, Peking University, Beijing, 100871 ChinaSearch for more papers by this authorLin Bao, Lin Bao Key Laboratory of Microelectronic Devices and Circuits (MOE), School of Integrated Circuits, Peking University, Beijing, 100871 ChinaSearch for more papers by this authorLiying Xu, Liying Xu Key Laboratory of Microelectronic Devices and Circuits (MOE), School of Integrated Circuits, Peking University, Beijing, 100871 ChinaSearch for more papers by this authorCaidie Cheng, Caidie Cheng Key Laboratory of Microelectronic Devices and Circuits (MOE), School of Integrated Circuits, Peking University, Beijing, 100871 ChinaSearch for more papers by this authorRu Huang, Ru Huang Key Laboratory of Microelectronic Devices and Circuits (MOE), School of Integrated Circuits, Peking University, Beijing, 100871 China Center for Brain Inspired Chips, Institute for Artificial Intelligence, Peking University, Beijing, 100871 China Center for Brain Inspired Intelligence, Chinese Institute for Brain Research (CIBR), Beijing, 102206 ChinaSearch for more papers by this authorYuchao Yang, Yuchao Yang Key Laboratory of Microelectronic Devices and Circuits (MOE), School of Integrated Circuits, Peking University, Beijing, 100871 China Center for Brain Inspired Chips, Institute for Artificial Intelligence, Peking University, Beijing, 100871 China Center for Brain Inspired Intelligence, Chinese Institute for Brain Research (CIBR), Beijing, 102206 China Beijing Academy of Artificial Intelligence, Beijing, 100084 ChinaSearch for more papers by this author Keqin Liu, Keqin Liu Key Laboratory of Microelectronic Devices and Circuits (MOE), School of Integrated Circuits, Peking University, Beijing, 100871 ChinaSearch for more papers by this authorBingjie Dang, Bingjie Dang Key Laboratory of Microelectronic Devices and Circuits (MOE), School of Integrated Circuits, Peking University, Beijing, 100871 ChinaSearch for more papers by this authorTeng Zhang, Teng Zhang Key Laboratory of Microelectronic Devices and Circuits (MOE), School of Integrated Circuits, Peking University, Beijing, 100871 ChinaSearch for more papers by this authorZhen Yang, Zhen Yang Key Laboratory of Microelectronic Devices and Circuits (MOE), School of Integrated Circuits, Peking University, Beijing, 100871 ChinaSearch for more papers by this authorLin Bao, Lin Bao Key Laboratory of Microelectronic Devices and Circuits (MOE), School of Integrated Circuits, Peking University, Beijing, 100871 ChinaSearch for more papers by this authorLiying Xu, Liying Xu Key Laboratory of Microelectronic Devices and Circuits (MOE), School of Integrated Circuits, Peking University, Beijing, 100871 ChinaSearch for more papers by this authorCaidie Cheng, Caidie Cheng Key Laboratory of Microelectronic Devices and Circuits (MOE), School of Integrated Circuits, Peking University, Beijing, 100871 ChinaSearch for more papers by this authorRu Huang, Ru Huang Key Laboratory of Microelectronic Devices and Circuits (MOE), School of Integrated Circuits, Peking University, Beijing, 100871 China Center for Brain Inspired Chips, Institute for Artificial Intelligence, Peking University, Beijing, 100871 China Center for Brain Inspired Intelligence, Chinese Institute for Brain Research (CIBR), Beijing, 102206 ChinaSearch for more papers by this authorYuchao Yang, Yuchao Yang Key Laboratory of Microelectronic Devices and Circuits (MOE), School of Integrated Circuits, Peking University, Beijing, 100871 China Center for Brain Inspired Chips, Institute for Artificial Intelligence, Peking University, Beijing, 100871 China Center for Brain Inspired Intelligence, Chinese Institute for Brain Research (CIBR), Beijing, 102206 China Beijing Academy of Artificial Intelligence, Beijing, 100084 ChinaSearch for more papers by this author First published: 01 December 2022 https://doi.org/10.1002/adma.202270333AboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Graphical Abstract Reservoir Computing Physically implemented reservoir computing systems have aroused wide interest, due to their capability of efficiently handling temporally complex information. In article number 2108826, Ru Huang, Yuchao Yang, and co-workers present a multilayer reservoir system using ferroelectric In2Se3 as the key function material, which enables hierarchical information-processing capability that is suitable for time-series data processing. Volume34, Issue48Special Issue: 2D CircuitsDecember 1, 20222270333 RelatedInformation