Electrical and Data-Retention Characteristics of Two-Terminal Thyristor Random Access Memory

Two-terminal (2-T) thyristor random access memory (TRAM) based on nanoscale cross-point vertical array is investigated in terms of lengths and doping concentrations of storage regions for long data retention time ( T ret ). For high device scalability and low program voltage ( V P ), lengths of the...

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Bibliographic Details
Published inIEEE open journal of nanotechnology Vol. 1; pp. 163 - 169
Main Authors Kim, Hyangwoo, Cho, Hyeonsu, Kong, Byoung Don, Kim, Jin-Woo, Meyyappan, Meyya, Baek, Chang-Ki
Format Journal Article
LanguageEnglish
Published New York IEEE 2020
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
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Summary:Two-terminal (2-T) thyristor random access memory (TRAM) based on nanoscale cross-point vertical array is investigated in terms of lengths and doping concentrations of storage regions for long data retention time ( T ret ). For high device scalability and low program voltage ( V P ), lengths of the storage regions are determined by the sum of depletion widths of N- and P-storage regions. When doping concentrations of two storage regions are equal to each other at 10 18 cm −3 , 2-T TRAM exhibits the longest T ret of 100 ms and the lowest impact ionization of the device can suppress various reliability issues such as hot carrier injection and junction degradation. Although T ret of 2-T TRAM can be reduced from 100 ms to 1.5 ms due to decreased read voltage with operating temperature rising from 300 K to 360 K, T ret can be further improved to >10 s by applying standby voltage ( V standby ). The effective way to set minimum V standby is presented using the I A - V A characteristics with 1000-s fall time. Moreover, the optimal V standby is set to 0.60 V by considering disturbance in array operation. Consequently, the proposed design and operation guidelines can provide a pathway to realize nanoscale 2-T TRAM for capacitor-less 4F 2 1T DRAM technology.
ISSN:2644-1292
2644-1292
DOI:10.1109/OJNANO.2020.3042804