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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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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. |
format | Online Article Text |
id | pubmed-8619026 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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