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Reconfigurable MoS 2 Memtransistors for Continuous Learning..:

Jiangtan Yuan (1683565) ; Stephanie E. Liu (11160928) ; Ahish Shylendra (11160931)...
https://figshare.com/articles/journal_contribution/Reconfigurable_MoS_sub_2_sub_Memtransistors_for_Continuous_Learning_in_Spiking_Neural_Networks/15025354. , 2021

Link: https://doi.org/10.1021/acs.nanolett.1c00982.s001

RT Journal
T1 <Title>Reconfigurable MoS 2 Memtransistors for Continuous Learning in Spiking Neural Networks</Title>

UL https://suche.suub.uni-bremen.de/peid=base-ftsmithonian:oai:figshare.com:article_15025354&Exemplar=1&LAN=DE
				
A1 Jiangtan Yuan (1683565)
A1 Stephanie E. Liu (11160928)
A1 Ahish Shylendra (11160931)
A1 William A. Gaviria Rojas (3768298)
A1 Silu Guo (11160934)
A1 Hadallia Bergeron (1424224)
A1 Shaowei Li (252115)
A1 Hong-Sub Lee (1509550)
A1 Shamma Nasrin (8001161)
A1 Vinod K. Sangwan (1298529)
A1 Amit Ranjan Trivedi (8001167)
A1 Mark C. Hersam (675285)
YR 2021
K1 Biophysics
K1 Neuroscience
K1 Space Science
K1 Biological Sciences not elsewhere classified
K1 Information Systems not elsewhere classified
K1 field effect
K1 intelligence
K1 hardware platforms
K1 memtransistor
K1 Reconfigurable MoS 2 Memtransistors
K1 monolayer MoS 2
K1 Continuous Learning
K1 gate pulses
K1 device response
K1 Spiking Neural Networks
K1 hardware accelerator opportunities
K1 energy costs
K1 reconfigurability
K1 neuromorphic architectures
K1 spike-timing-dependent plasticity
JF https://figshare.com/articles/journal_contribution/Reconfigurable_MoS_sub_2_sub_Memtransistors_for_Continuous_Learning_in_Spiking_Neural_Networks/15025354
LK http://dx.doi.org/https://doi.org/10.1021/acs.nanolett.1c00982.s001
DO https://doi.org/10.1021/acs.nanolett.1c00982.s001
SF ELIB - SuUB Bremen

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