Porous crystalline materials usually include metal–organic frameworks (MOFs), covalent
organic frameworks (COFs), hydrogen-bonded organic frameworks (HOFs) and zeolites …

Confronted by the difficulties of the von Neumann bottleneck and memory wall, traditional
computing systems are gradually inadequate for satisfying the demands of future data …

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 …

Systems and methods are disclosed for communicating data in an integrated sensor network
having one or more nodes coupled to an optical sensor network and a radio frequency …

Refining the visible light absorption and optimizing the separation of photogenerated
electron-hole pairs are pivotal in enhancing the photocatalytic activity of composites. A novel …

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

Covalent organic polymers (COPs) memristors with multilevel memory behavior in harsh
environments and photoelectric regulation are crucial for high‐density storage and high …

The escalating demand for artificial intelligence (AI), the internet of things (IoTs), and energy-
efficient high-volume data processing has brought the need for innovative solutions to the …

The utilization of solar-driven photocatalysis presents a highly promising approach to tackle
the urgent challenges posed by environmental pollution and energy scarcity. Compared to …