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dc.contributor.authorChou, Yu-Cheen_US
dc.contributor.authorTsai, Chien-Weien_US
dc.contributor.authorYi, Chin-Yaen_US
dc.contributor.authorChung, Wan-Hsuanen_US
dc.contributor.authorChien, Chao-Hsinen_US
dc.date.accessioned2020-10-05T01:59:50Z-
dc.date.available2020-10-05T01:59:50Z-
dc.date.issued2020-01-01en_US
dc.identifier.issn2168-6734en_US
dc.identifier.urihttp://dx.doi.org/10.1109/JEDS.2020.2993859en_US
dc.identifier.urihttp://hdl.handle.net/11536/154965-
dc.description.abstractIn this work, we investigated the effects of the crystal phase of ZrO2 on charge trapping memtransistors (CTMTs) as synaptic devices for neural network applications. The ZrO2 deposited through thermal (t-ZrO2) atomic layer deposition (ALD) and plasma (p-ZrO2) ALD were analyzed using an X-ray diffractometer, which indicated that the t-ZrO2 consisted of pure cubic phase, whereas p-Zr-O2 consisted of both cubic and tetragonal phases. Through X-ray photoelectron spectroscopy analysis, we then constructed the energy band diagram of the gate stacks. The Delta E-C of t- and p-ZrO2 with respect to tunneling and blocking Al2O3 were 1.84 and 1.19 eV respectively. Because of the relatively large Delta E-C of t-ZrO2, the window of the flat band voltage (V-FB) shift extracted from charge trapping capacitors was enlarged by 591.9 mV more than the one using p-ZrO2 as the charge trapping layer. Retention was also improved by 10.4% after 10(5) s in the t-ZrO2 case. Finally, we fabricated the CTMTs with the gate stack of the t-ZrO2 case and demonstrated their characteristics as synaptic devices. With the optimization of pulse schemes, we reduced the nonlinear factors of depression (ad) and potentiation (ap) from-6.72 and 6.47 to 0.03 and 0.01 respectively, enlarged the ON/OFF ratio from 15.6 to 70.4 and increased the recognition accuracy from 27.6% to 86.5% simultaneously.en_US
dc.language.isoen_USen_US
dc.subjectGermaniumen_US
dc.subjecthigh-kappa dielectricsen_US
dc.subjectmultilayer perceptronen_US
dc.subjectneural network hardwareen_US
dc.subjectsynaptic deviceen_US
dc.subjectzirconium oxideen_US
dc.titleImpact of the Crystal Phase of ZrO2 on Charge Trapping Memtransistor as Synaptic Device for Neural Network Applicationen_US
dc.typeArticleen_US
dc.identifier.doi10.1109/JEDS.2020.2993859en_US
dc.identifier.journalIEEE JOURNAL OF THE ELECTRON DEVICES SOCIETYen_US
dc.citation.volume8en_US
dc.citation.spage572en_US
dc.citation.epage576en_US
dc.contributor.department電子工程學系及電子研究所zh_TW
dc.contributor.departmentDepartment of Electronics Engineering and Institute of Electronicsen_US
dc.identifier.wosnumberWOS:000542793900001en_US
dc.citation.woscount0en_US
Appears in Collections:Articles