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Title: | Impact of Thermal Boundary Resistance on the Performance and Scaling of Phase-Change Memory Device |
Authors: | Durai, Suresh Manivannan, Anbarasu |
Keywords: | Antimony compounds;Energy efficiency;Germanium compounds;Electrical interface;Isotropic scaling;Low-power programming;Miniaturized devices;Non-volatile memory application;Oxide interfaces;Realistic physical model;Thermal boundary resistance;Phase change memory |
Issue Date: | 2020 |
Publisher: | Institute of Electrical and Electronics Engineers Inc. |
Citation: | Durai, S., Raj, S., & Manivannan, A. (2020). Impact of thermal boundary resistance on the performance and scaling of phase-change memory device. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 39(9), 1834-1840. doi:10.1109/TCAD.2019.2927502 |
Abstract: | The scaling of RESET current ( $I_{\mathrm{ RESET}}$ ) used for reamorphization in phase-change memory (PCM) devices has been a challenging task to meet the energy-efficient programming. The faithful prediction of $I_{\mathrm{ RESET}}$ of scaled-down devices demands realistic physical models in order to examine low-power, miniaturized device characteristics, and the potential of a highly scalable PCM technology. Therefore, modeling the intrinsic interface effects, thermal boundary resistance (TBR) at the GeSbTe (GST)-metal and GST-oxide interfaces, and electrical interface resistance (EIR) at the GST-metal interface of the nanoscale PCM device is necessary. In this paper, the impact of presence and absence of TBR and EIR on $I_{\mathrm{ RESET}}$ in a mushroom-type PCM device is investigated, and their usefulness on scaling is predicted for diminished devices. Reductions in $I_{\mathrm{ RESET}}$ , 32% in the case of 100 nm contact diameter (CD), 45% for the 40-nm CD and 73% for the 10-nm CD are achieved by taking into account of interface effects, and these results are validated with experimental results published elsewhere. The fitted model suggests $I_{\mathrm{ RESET}}$ scales down linearly with CD and necessitates for the combined effects of TBR and EIR to successfully follow the isotropic scaling in mushroom-type devices. Hence, our simulation results demonstrate the significance of TBR and EIR for a better optimization and a reliable prediction of $I_{\mathrm{ RESET}}$ for low-power programming of PCM devices toward enabling next generation high-speed, high-density nonvolatile memory applications. © 1982-2012 IEEE. |
URI: | https://doi.org/10.1109/TCAD.2019.2927502 https://dspace.iiti.ac.in/handle/123456789/5605 |
ISSN: | 0278-0070 |
Type of Material: | Journal Article |
Appears in Collections: | Department of Electrical Engineering |
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