Scholarlink

<p>Methylammonium lead bromide (MAPbBr₃) nanoparticles capped with alkylammonium ligands of varying chain length were synthesized and characterized using standard spectroscopic and microscopic techniques. Dispersed within a polymer matrix, these nanocrystals were incorporated into prototype memristive devices that exhibit tunable synaptic functionalities, such as potentiation, depression, and spike rate–dependent plasticity (SRDP). The increasing insulating character of the surface ligands enabled tunable device performance, particularly in terms of operating voltage ranges and shape of the electrical response. This ligand-dependent modulation offers a versatile platform for tailoring the electronic behavior of nanostructured perovskite-based systems. Notably, devices constructed with nanoparticle-polymer blends exhibited enhanced stability compared to conventional bulk perovskite devices. This approach offers a scalable pathway for engineering robust, adaptable information processing devices for next-generation neuromorphic computing.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Control Over Dynamic Plasticity Phenomena in Perovskite-Based Nanoparticles By Fine Tuning of Surface Ligand Architecture

  • 期刊论文

  • 发表日期：

    2026年3月5日

查看全文
  • Gisya Abdi,
  • Michał Szuwarzyński,
  • Mariusz Borkowski,
  • Łukasz Mazur,
  • Marta Gajewska,
  • Agnieszka Podborska,
  • Chakkooth Vijayakumar,
  • Konrad Szaciłowski,
  • Tomasz Mazur

摘要

Methylammonium lead bromide (MAPbBr₃) nanoparticles capped with alkylammonium ligands of varying chain length were synthesized and characterized using standard spectroscopic and microscopic techniques. Dispersed within a polymer matrix, these nanocrystals were incorporated into prototype memristive devices that exhibit tunable synaptic functionalities, such as potentiation, depression, and spike rate–dependent plasticity (SRDP). The increasing insulating character of the surface ligands enabled tunable device performance, particularly in terms of operating voltage ranges and shape of the electrical response. This ligand-dependent modulation offers a versatile platform for tailoring the electronic behavior of nanostructured perovskite-based systems. Notably, devices constructed with nanoparticle-polymer blends exhibited enhanced stability compared to conventional bulk perovskite devices. This approach offers a scalable pathway for engineering robust, adaptable information processing devices for next-generation neuromorphic computing.