Browsing by Author "Chou, Chun-Tse"
Now showing 1 - 2 of 2
- Results Per Page
- Sort Options
Item type:Item, Crossbar array of selector-less TaOx/TiO2 bilayer RRAM(2015-11-01) ;Chou, Chun-Tse ;Hudec, Boris ;Hsu, Chung-Wei ;Lai, Wei-LiChang, Chih-ChengIn this work, we have implemented self-rectifying TaOx/TiO2 REAM in a selector-less 6 x 6 crossbar array with various desiring features, including: (1) simple fabrication using only three masks, (2) high self-rectifying ratio up to 10(3) for sneak current suppression, (3) stable bipolar resistive-switching characteristics without the need for electro-forming and current compliance, (4) data retention time over 10(4) s, and (5) robust READ and WRITE disturb immunity. Finally, an achievable array size of 1 Mb was simulated using an All-LPU read scheme and a V/3 write scheme. (C) 2015 Elsevier Ltd. All rights reserved.Item type:Item, Homogeneous barrier modulation of TaOx/TiO2 bilayers for ultra-high endurance three-dimensional storage-class memory(2014-04-25) ;Hsu, Chung-Wei ;Wang, Yu-Fen ;Wan, Chia-Chen ;Wang, I-TingChou, Chun-TseThree-dimensional vertical resistive-switching random access memory (V-RRAM) is the most anticipated candidate for fulfilling the strict requirements of the disruptive storage-class memory technology, including low bit cost, fast access time, low-power nonvolatile storage, and excellent endurance. However, an essential self-selecting resistive-switching cell that satisfies these requirements has yet to be developed. In this study, we developed a TaOx/TiO2 double-layer V-RRAM containing numerous highly desired features, including: (1) a self-rectifying ratio of up to 10(3) with a sub-mu A operating current, (2) little cycle-to-cycle and layer-to-layer variation, (3) a steep vertical sidewall profile for high-density integration, (4) forming-free and self-compliance characteristics for a simple peripheral circuit design, and (5) an extrapolated endurance of over 10(15) cycles at 100 degrees C. Furthermore, the switching and self-rectifying mechanisms were successfully modeled using oxygen ion migration and homogeneous barrier modulation. We also suggest the new possibility of monolithically integrating working and storage memory by exploiting a unique tradeoff between retention time and endurance.