通过高温训练改善 Pr0.7Ca0.3MnO3-X ECRAM 的重量更新和保持特性

IF 5.8 3区材料科学 Q1 CHEMISTRY, MULTIDISCIPLINARY

Nanoscale Pub Date : 2024-12-14 DOI:10.1039/D4NR03264K

Chuljun Lee, Dongmin Kim, Seojin Cho and Daeseok Lee

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引用次数: 0

摘要

为了同时实现用于训练的出色模拟切换和用于推理的保持，我们对 Pr0.7Ca0.3MnO3-X (PCMO) 电化学随机存取存储器（ECRAM）的高温（ET）训练进行了研究。在 ET（413 K）条件下，HfOx 电解质的离子电阻率受热降低，从而改善了重量更新特性。此外，室温下的出色保持特性（108 秒）也得到了证实，这可以解释为通过 ET 训练增强了储层（或通道）内的离子存储。通过在 PCMO ECRAM 上采用 ET 训练，我们可以同时满足神经网络 (NN) 的训练和推理精度要求。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

Improvement of the weight update and retention characteristics of Pr0.7Ca0.3MnO3−x ECRAM via elevated temperature training†

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Improvement of the weight update and retention characteristics of Pr0.7Ca0.3MnO3−x ECRAM via elevated temperature training†

To achieve both excellent analog switching for training and retention for inference simultaneously, we investigated elevated-temperature (ET) training of Pr_0.7Ca_0.3MnO_3−x (PCMO) electrochemical random access memory (ECRAM). Improved weight update characteristics can be obtained by thermally reduced ionic resistivity of the HfO_x electrolyte at ET (413 K). Furthermore, excellent retention characteristics (10⁸ s) were observed at room temperature, which can be explained by enhanced ion storage within the reservoir (or channel) layer via ET training. By adopting ET training on PCMO ECRAM, we can achieve both training and inference accuracy of neural networks (NNs).

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来源期刊

Nanoscale CHEMISTRY, MULTIDISCIPLINARY-NANOSCIENCE & NANOTECHNOLOGY

CiteScore

12.10

自引率

3.00%

发文量

1628

审稿时长

1.6 months

期刊介绍： Nanoscale is a high-impact international journal, publishing high-quality research across nanoscience and nanotechnology. Nanoscale publishes a full mix of research articles on experimental and theoretical work, including reviews, communications, and full papers.Highly interdisciplinary, this journal appeals to scientists, researchers and professionals interested in nanoscience and nanotechnology, quantum materials and quantum technology, including the areas of physics, chemistry, biology, medicine, materials, energy/environment, information technology, detection science, healthcare and drug discovery, and electronics.