Browsing by Author "Zhang, Yong-Ci"
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Item type:Item, Impact of electrode thermal conductivity on high resistance state level in HfO2-based RRAM(2020-09-23) ;Lin, Shih-Kai ;Wu, Cheng-Hsien ;Chen, Min-Chen ;Chang, Ting-ChangLien, Chen-HsinThis study examines the influence of different electrode thermal conductivity on switching behavior during the reset process. Electrical analysis methods and an analysis of current conduction mechanism indicate that better thermal conductivity in the electrode will require larger input power in order to induce more active oxygen ions to take part in the reset process. More active oxygen ions result in a more oxidized switching layer, and cause the effective switching gap (d(sw)) to become larger in the reset process. The effect of the electrode thermal conductivity and input power are explained by our model and clarified by electrical analysis methods.Item type:Item, Incorporation of Resistive Random Access Memory into Low-Temperature Polysilicon Transistor with Fin-Like Structure as 1T1R Device(1970-01-01) ;Huang, Wei-Chen ;Zheng, Hao-Xuan ;Chen, Po-Hsun ;Chang, Ting-ChangTan, Yung-FangIn this study, a one transistor one resistor (1T1R) structure combining a fin-like low-temperature polycrystalline-silicon (LTPS) transistor and a resistive random access memory (RRAM) is successfully fabricated. For the fin-like LTPS transistor, both n-type and p-types show excellent electrical output characteristics. Fin-like structure produces more stable output characteristics. Also, the forming and current-voltage (I-V) characteristics are measured in this study, and the RRAM exhibits a forming voltage of about -1.9 V. As for the I-V switching property, the devices are stable and show excellent performance, with the set and reset voltages showing only minimal change over 100 cycles. Moreover, combining the fin-like LTPS transistor and RRAM into a 1T1R structure results in favorable operation over 100 cycles, with excellent retention and endurance. According to these results, RRAM can be successfully combined with a fin-like LTPS transistor for application in current integrated circuit processes without difficulty.Item type:Item, Overcoming Limited Resistance in 1T1R RRAM Caused by Pinch-Off Voltage During Reset Process(2019-11-01) ;Zheng, Hao-Xuan ;Chen, Min-Chen ;Chang, Ting-Chang ;Su, Yu-TingChen, Wen-ChungThis article explains the difference in the reset processes between single RRAM and 1T1R RRAM structures. In the single RRAM, as the reset voltage increases, the off-state resistance increases. This is a normal RRAM operation. However, in the 1T1R structure, the reset voltage increases while the OFF-state resistance does not increase. This may be caused by either current or voltage being insufficient to switch the RRAM to its higher resistance state. The measurements of real voltage indicate that the insufficient voltage is in fact the main cause. For the 1T1R RRAM structure, if it is to be reset to a higher resistance state, it is best done by increasing the gate voltage to increase the OFF-state resistance. Therefore, we provide a method to reduce the misjudgment in the array, and it would be beneficial for the development of high-density memory.Item type:Item, The Effect of Humidity on Reducing Forming Voltage in Conductive-Bridge Random Access Memory With an Alloy Electrode(2019-10-01) ;Lin, Shih-Kai ;Chen, Min-Chen ;Chang, Ting-Chang ;Lien, Chen-HsinChang, Jing-ShuenThis letter investigates Au30Ag70 (alloy electrode)/SiO2/TiN conductive-bridge random access memory (CBRAM) to verify the influence of ambient conditions on forming voltage (V-F) and the location of galvanic reaction. Previous literature demonstrates that the galvanic reaction in CBRAM with an alloy electrode results in a lower V-F. In this work, a higher environmental H2O concentration results in a decrease in V-F. From this change in VF, we infer that environmental H2O concentration influences the amount of galvanic reaction. Moreover, we verify the location of the galvanic reaction by varying electrode thickness. Finally, we propose a physical model to explain our observations.