Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Fengben Xi"'
Autor:
Fengben Xi, Andreas Grenmyr, Jiayuan Zhang, Yi Han, Jin Hee Bae, Detlev Grützmacher, Qing‐Tai Zhao
Publikováno v:
Advanced Electronic Materials, Vol 9, Iss 3, Pp n/a-n/a (2023)
Abstract Neuromorphic computing employs a great number of artificial synapses which transfer information between neurons. Conventional two‐ or three‐terminal artificial synapses with homosynaptic plasticity suffer from a positive feedback loop pr
Externí odkaz:
https://doaj.org/article/9fc671b781a042fbb685b395abfe2277
Publikováno v:
IEEE Journal of the Electron Devices Society, Vol 10, Pp 569-574 (2022)
In this paper, artificial synapses based on four terminal ferroelectric Schottky barrier field effect transistors (FE-SBFETs) are experimentally demonstrated. The ferroelectric polarization switching dynamics gradually modulate the Schottky barriers,
Externí odkaz:
https://doaj.org/article/c5574ce76989422fa5326a7538932bbf
Autor:
Fengben Xi, Andreas Grenmy, Jiayuan Zhang, Yi Han, Jin Hee Bae, Detlev Grutzmacher, Qing-Tai Zhao
Publikováno v:
ESSCIRC 2022- IEEE 48th European Solid State Circuits Conference (ESSCIRC).
Autor:
Christopher Bengel, Stefan Wiefels, Vikas Rana, Hsin-Yu Chen, Qing-Tai Zhao, Rainer Waser, Henriette Padberg, Fengben Xi, Stephan Menzel
Publikováno v:
IEEE (2022). doi:10.1109/ISCAS48785.2022.9937565
2022 IEEE International Symposium on Circuits and Systems (ISCAS) : [Proceedings]-IEEE, 2022.-ISBN 978-1-6654-8485-5-doi:10.1109/ISCAS48785.2022.9937565
2022 IEEE International Symposium on Circuits and Systems (ISCAS) : [Proceedings]-IEEE, 2022.-ISBN 978-1-6654-8485-5-doi:10.1109/ISCAS48785.2022.99375652022 IEEE International Symposium on Circuits and Systems (ISCAS), Austin, TX, 2022-05-27-2022-06-01
2022 IEEE International Symposium on Circuits and Systems (ISCAS) : [Proceedings]-IEEE, 2022.-ISBN 978-1-6654-8485-5-doi:10.1109/ISCAS48785.2022.9937565
2022 IEEE International Symposium on Circuits and Systems (ISCAS) : [Proceedings]-IEEE, 2022.-ISBN 978-1-6654-8485-5-doi:10.1109/ISCAS48785.2022.99375652022 IEEE International Symposium on Circuits and Systems (ISCAS), Austin, TX, 2022-05-27-2022-06-01
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::825adebcd00dda50fddd8b21479dc383
https://hdl.handle.net/2128/33138
https://hdl.handle.net/2128/33138
Autor:
Yi Han, Fengben Xi, Frederic Allibert, Ionut Radu, Slawomir Prucnal, Jin-Hee Bae, Susanne Hoffmann-Eifert, Joachim Knoch, Detlev Grützmacher, Qing-Tai Zhao
Publikováno v:
Solid-State Electronics 192(2022), 108263
Solid state electronics 192, 108263-(2022). doi:10.1016/j.sse.2022.108263
Solid state electronics 192, 108263-(2022). doi:10.1016/j.sse.2022.108263
In this paper we present an experimental study of SOI UTBB n-MOSFETs at cryogenic temperatures. The device employs fully silicided source/drain with dopant segregation formed by “Implantation Into Silicide” (IIS) process. The impact of the back-g
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fe69d3b01662863f0e4ca9e22b8f4d68
https://www.hzdr.de/publications/Publ-36122-1
https://www.hzdr.de/publications/Publ-36122-1
Autor:
Fengben Xi, Andreas Grenmyr, Jiayuan Zhang, Yi Han, Jin Hee Bae, Detlev Grützmacher, Qing‐Tai Zhao
Publikováno v:
Advanced electronic materials 9(3), 2201155-(2023). doi:10.1002/aelm.202201155
Publikováno v:
ESSDERC 2021 - IEEE 51st European Solid-State Device Research Conference (ESSDERC).
Autor:
Slawomir Prucnal, Yi Han, Detlev Grützmacher, Fengben Xi, Susanne Hoffmann-Eifert, Frederic Allibert, Qing-Tai Zhao, Joachim Knoch, Jin-Hee Bae, Ionut Radu
Publikováno v:
2021 Joint International EUROSOI Workshop and International Conference on Ultimate Integration on Silicon (EuroSOI-ULIS).
In this paper we present an experimental investigation on SOI UTBB n-MOSFETs at cryogenic temperatures. The device has a silicide source/drain with dopant segregation formed by "Implantation Into Silicide" (IIS) process. The controllability of the ba
Publikováno v:
Nano Energy. 61:1-9
Harvesting ocean wave energy is a killer application of triboelectric nanogenerator (TENG) for advantages in simple mechanism, high power density and high efficiency at low frequency. Here we report a self-powered intelligent buoy system (SIBS), in w
Publikováno v:
ECS Meeting Abstracts. :1183-1183
Neuromorphic computing inspired by the neural network systems of the human brain enables energy efficient computing for big-data processing. A neural network is formed by thousands or even millions of neurons which are connected by even a higher numb