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1D nanowire networks, sharing similarities of structure, information transfer, and computation with biological neural networks, have emerged as a promising platform for neuromorphic systems. Based on brain‐like structures of 1D nanowire networks, neuromorphic synaptic devices can overcome the von Neumann bottleneck, achieving intelligent high‐efficient sensing and computing function with high information...
Redox‐active tetrathiafulvalene (TTF)‐based covalent organic frameworks (COFs) exhibit distinctive electrochemical and photoelectrical properties, but their prevalent two‐dimensional (2D) structure with densely packed TTF moieties limits the accessibility of redox center and constrains their potential applications. To overcome this challenge, an 8‐connected TTF linker (TTF‐8CHO) is designed as a new...
Memristor‐based artificial synapses are regarded as the most promising candidate to develop brain‐like neuromorphic network computers and overcome the bottleneck of Von–Neumann architecture. Violet phosphorus (VP) as a new allotrope of available phosphorus with outstanding electro‐optical properties and stability has attracted more and more attention in the past several years. In this study, large‐scale,...
Defect states play an important role in the photovoltaic performance of metal halide perovskites. Particularly, the passivation of surface defects has made great contributions to high‐performance perovskite photovoltaics. This highlights the importance of understanding the surface defects from a fundamental level by developing more accurate and operando characterization techniques. Herein, a strategy...
With the efforts of researchers from all over the world, metal halide perovskite solar cells (PSCs) have been booming rapidly in recent years. Generally, perovskite films are sensitive to surrounding conditions and will be changed under the action of physical fields, resulting in lattice distortion, degradation, ion migration, and so on. In this review, the progress of physical fields manipulation...
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