As a key structural parameter, phase depicts the arrangement of atoms in materials.
Normally, a nanomaterial exists in its thermodynamically stable crystal phase. With the …

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

The booming development of artificial intelligence (AI) requires faster physical processing
units as well as more efficient algorithms. Recently, reservoir computing (RC) has emerged …

Mesoporous metal oxide nanosheets (MMONs) are demonstrated great promise for various
catalytic applications such as water splitting, CO2 reduction, and metal–sulfur batteries …

Metal–organic frameworks (MOFs) are crystalline materials that consist of metallic clusters
and organic ligands with great potential for a diverse range of applications, including but not …

Neuromorphic systems based on memristor arrays have not only addressed the von
Neumann bottleneck issue but have also enabled the development of computing …

The state of the art of the literature on two-dimensional (2D) materials currently used in
conductometric and transistor-type gas sensing devices is here illustrated, followed by a …

Transfer techniques of two-dimensional (2D) materials and devices offer nanoscale
integration with the existing silicon-based technology and flexible electronics. To date, the …

Achieving broad light absorption and high carrier separation efficiency is crucial for wide‐
bandgap semiconductors to enable broadband photodetection applications. Here …

Two-dimensional (2D) materials, known for their distinctive electronic, mechanical, and
thermal properties, have attracted considerable attention. The precise atomic-scale …