闪光型忆阻器电泳诱导自组装沉积技术实现纳米纤维结构工程,ACS Applied Materials & Interfaces

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闪光型忆阻器电泳诱导自组装沉积技术实现纳米纤维结构工程
ACS Applied Materials & Interfaces ( IF 9.5 ) Pub Date : 2022-01-05 , DOI: 10.1021/acsami.1c22094
Cheng Zhang ₁ , Yang Li ₁ , Zhuang Li ₂ , Yucheng Jiang ₁ , Jinlei Zhang ₁ , Run Zhao ₁ , Jingyun Zou ₁ , Yanan Wang ₃ , Kuaibing Wang ₄ , Chunlan Ma ₁ , Qichun Zhang _{5,

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Affiliation

电泳沉积（EPD）已被公认为一种有前途的工业应用大规模薄膜制备技术。受传统 EPD 方法和晶体扩散生长策略的启发，我们提出了一种改进的电泳诱导自组装沉积 (EPAD) 技术来控制有机功能材料的形态。在这里，选择具有共轭骨架和强非共价相互作用的离子型染料天青石蓝 (CB) 作为 EPAD 研究的模块分子。正如预期的那样，CB 分子可以组装成不同的纳米结构，由施加的电压、浓度效应和持续时间决定。与传统旋涂法形成的纳米柱层状堆积结构相比，EPAD法可以在10 V/10 min的固定条件下产生纳米纤维结构。有趣的是，基于柱状纳米结构的忆阻器器件表现出 WORM 型行为，而基于纳米纤维的器件表现出闪存性能。通过分子动力学模拟和密度泛函理论 (DFT) 计算揭示了组装过程和记忆机制。这项工作为典型的EPD技术赋予了新的应用场景，深入研究了纳米纤维的生长机制以及独特形貌对忆阻器性能的积极影响。

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Nanofiber Architecture Engineering Implemented by Electrophoretic-Induced Self-Assembly Deposition Technology for Flash-Type Memristors

Electrophoretic deposition (EPD) has been recognized as a promising large-scale film preparation technology for industrial application. Inspired by the conventional EPD method and the crystal diffusion growth strategy, we propose a modified electrophoretic-induced self-assembly deposition (EPAD) technique to control the morphologies of organic functional materials. Here, an ionic-type dye with a conjugated skeleton and strong noncovalent interactions, celestine blue (CB), is chosen as a module molecule for EPAD investigation. As expected, CB molecules can assemble into different nanostructures, dominated by applied voltage, concentration effect, and duration. Compared to a nanopillar layered packing structure formed by the traditional spin-coating method, the EPAD approach can produce a nanofiber structure under a fixed condition of 10 V/10 min. Intriguingly, a memristor device based on a pillar-like nanostructure exhibits WORM-type behavior, while a device based on nanofibers presents Flash memory performance. The assemble process and the memory mechanism are uncovered by molecular dynamics simulations and density-functional theory (DFT) calculations. This work endows the typical EPD technique with a fresh application scenario, where an in-depth study on the growth mechanism of nanofibers and the positive effect of unique morphologies on memristor performance are offered.

更新日期：2022-01-19

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