Neuromorphic computing could enable the potential to break the inherent limitations of
conventional von Neumann architectures, which has led to widespread research interest in …

In the era of big data and artificial intelligence (AI), advanced data storage and processing
technologies are in urgent demand. The innovative neuromorphic algorithm and hardware …

Covalent organic frameworks (COFs) are promising active mediums for high‐performance
data storage devices stemming from their high crystallinity, ordered porous channels …

The simulation of human feelings, perceptions, and actions has become an important
application field for medical treatment, human–computer interfaces, and intelligent robots …

Covalent organic polymers (COPs) have emerged as a promising class of materials for
memory devices due to their unique electronic properties and potential for tunability. This …

The conspicuous surface activity and exceptional chemical stability of perfluorooctanoic
acid, commonly referred to as PFOA, have led to its extensive utilization across a broad …

The single molecule level determination with a transistor (SiMoT) platform has attracted
considerable attention in the recognition of various ultralow abundance biomolecules, while …

Organic phototransistors (OPTs), as photosensitive organic field‐effect transistors (OFETs),
have gained significant attention due to their pivotal roles in imaging, optical communication …

Memristors are essential components of neuromorphic systems that mimic the synaptic
plasticity observed in biological neurons. In this study, a novel approach employing one …

Imine‐linked covalent organic frameworks (COFs) are garnering substantial interest in
resistive random‐access memory, attributed to their superior crystallinity, excellent chemical …