Ionics, Год журнала: 2025, Номер unknown
Опубликована: Июнь 5, 2025
Язык: Английский
Ionics, Год журнала: 2025, Номер unknown
Опубликована: Июнь 5, 2025
Язык: Английский
Nano Letters, Год журнала: 2025, Номер unknown
Опубликована: Март 25, 2025
The rapid evolution of neuromorphic devices seeks to bridge biological neural networks and artificial systems, enabling energy-efficient scalable computing for next-generation intelligence. Herein, we introduce methyl-engineered one-dimensional covalent organic framework (1D COF)-based memristors as a transformative platform reconfigurable computing. incorporation methyl groups enhances localized polarization effects within the COF framework, effectively mitigating random Ag+ migration/diffusion stabilizing conductive filament morphology. This strategic modification yields with exceptional multilevel storage capabilities, exhibiting superior stability, linearity, reproducibility. Moreover, highly ordered architecture customizable chemical environment methyl-functionalized 1D allows precise control over resistive switching behaviors, facilitating emulation synaptic functions development network architectures. Demonstrating performance in tasks such high-accuracy image recognition, these showcase significant promise foundation energy-efficient, systems.
Язык: Английский
Процитировано
1InfoMat, Год журнала: 2025, Номер unknown
Опубликована: Май 12, 2025
Abstract Artificial visual neural systems have emerged as promising candidates for overcoming the von Neumann bottleneck via integrating image perception, storage, and computation. Existing photoelectric memristors are limited by need specific wavelengths or long input times to maintain stable behavior. Here, we introduce a benzothiophene‐modified covalent organic framework, enhancing response of methyl trinuclear copper low‐voltage (0.2 V) redox processes. The material enables modulation 50 conductive states light electrical signals, improving recognition accuracy in low light, dense fog, high‐frequency motion. ITO/BTT‐Cu 3 /ITO device's increases from 7.1% with 2 87.1% after training. This construction strategy synergistic effect interactions offer new pathway development neuromorphic computing elements capable processing environmental information situ.
Язык: Английский
Процитировано
0Ionics, Год журнала: 2025, Номер unknown
Опубликована: Июнь 5, 2025
Язык: Английский
Процитировано
0