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Robust Simulations of Nanoscale Phase Change Memory: Dynamics and Retention

A robust simulation framework was developed for nanoscale phase change memory (PCM) cells. Starting from the reaction rate theory, the dynamic nucleation was simulated to capture the evolution of the cluster population. To accommodate the non-uniform critical sizes of nuclei due to the non-isotherma...

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Detalles Bibliográficos
Autores principales: Ding, Feilong, Dong, Deqi, Chen, Yihan, Lin, Xinnan, Zhang, Lining
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8619026/
https://www.ncbi.nlm.nih.gov/pubmed/34835708
http://dx.doi.org/10.3390/nano11112945
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author Ding, Feilong
Dong, Deqi
Chen, Yihan
Lin, Xinnan
Zhang, Lining
author_facet Ding, Feilong
Dong, Deqi
Chen, Yihan
Lin, Xinnan
Zhang, Lining
author_sort Ding, Feilong
collection PubMed
description A robust simulation framework was developed for nanoscale phase change memory (PCM) cells. Starting from the reaction rate theory, the dynamic nucleation was simulated to capture the evolution of the cluster population. To accommodate the non-uniform critical sizes of nuclei due to the non-isothermal conditions during PCM cell programming, an improved crystallization model was proposed that goes beyond the classical nucleation and growth model. With the above, the incubation period in which the cluster distributions reached their equilibrium was captured beyond the capability of simulations with a steady-state nucleation rate. The implications of the developed simulation method are discussed regarding PCM fast SET programming and retention. This work provides the possibility for further improvement of PCM and integration with CMOS technology.
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spelling pubmed-86190262021-11-27 Robust Simulations of Nanoscale Phase Change Memory: Dynamics and Retention Ding, Feilong Dong, Deqi Chen, Yihan Lin, Xinnan Zhang, Lining Nanomaterials (Basel) Article A robust simulation framework was developed for nanoscale phase change memory (PCM) cells. Starting from the reaction rate theory, the dynamic nucleation was simulated to capture the evolution of the cluster population. To accommodate the non-uniform critical sizes of nuclei due to the non-isothermal conditions during PCM cell programming, an improved crystallization model was proposed that goes beyond the classical nucleation and growth model. With the above, the incubation period in which the cluster distributions reached their equilibrium was captured beyond the capability of simulations with a steady-state nucleation rate. The implications of the developed simulation method are discussed regarding PCM fast SET programming and retention. This work provides the possibility for further improvement of PCM and integration with CMOS technology. MDPI 2021-11-03 /pmc/articles/PMC8619026/ /pubmed/34835708 http://dx.doi.org/10.3390/nano11112945 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Ding, Feilong
Dong, Deqi
Chen, Yihan
Lin, Xinnan
Zhang, Lining
Robust Simulations of Nanoscale Phase Change Memory: Dynamics and Retention
title Robust Simulations of Nanoscale Phase Change Memory: Dynamics and Retention
title_full Robust Simulations of Nanoscale Phase Change Memory: Dynamics and Retention
title_fullStr Robust Simulations of Nanoscale Phase Change Memory: Dynamics and Retention
title_full_unstemmed Robust Simulations of Nanoscale Phase Change Memory: Dynamics and Retention
title_short Robust Simulations of Nanoscale Phase Change Memory: Dynamics and Retention
title_sort robust simulations of nanoscale phase change memory: dynamics and retention
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8619026/
https://www.ncbi.nlm.nih.gov/pubmed/34835708
http://dx.doi.org/10.3390/nano11112945
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