Journal article
Device-scale atomistic modelling of phase-change memory materials
- Abstract:
- Computer simulations can play a central role in the understanding of phase-change materials and the development of advanced memory technologies. However, direct quantum-mechanical simulations are limited to simplified models containing a few hundred or thousand atoms. Here we report a machine-learning-based potential model that is trained using quantum-mechanical data and can be used to simulate a range of germanium–antimony–tellurium compositions—typical phase-change materials—under realistic device conditions. The speed of our model enables atomistic simulations of multiple thermal cycles and delicate operations for neuro-inspired computing, specifically cumulative SET and iterative RESET. A device-scale (40 × 20 × 20 nm3) model containing over half a million atoms shows that our machine-learning approach can directly describe technologically relevant processes in memory devices based on phase-change materials.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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- Files:
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(Preview, Version of record, pdf, 12.3MB, Terms of use)
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- Publisher copy:
- 10.1038/s41928-023-01030-x
Authors
- Publisher:
- Springer Nature
- Journal:
- Nature Electronics More from this journal
- Volume:
- 6
- Issue:
- 10
- Pages:
- 746-754
- Publication date:
- 2023-09-25
- Acceptance date:
- 2023-08-11
- DOI:
- EISSN:
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2520-1131
- Language:
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English
- Pubs id:
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1514226
- Local pid:
-
pubs:1514226
- Deposit date:
-
2023-08-22
Terms of use
- Copyright holder:
- Zhou et al.
- Copyright date:
- 2023
- Rights statement:
- © The Author(s) 2023. Open Access. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder.
- Licence:
- CC Attribution (CC BY)
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