A grand family of two-dimensional (2D) materials and their heterostructures have been
discovered through the extensive experimental and theoretical efforts of chemists, material …

Rapid digital technology advancement has resulted in a tremendous increase in computing
tasks imposing stringent energy efficiency and area efficiency requirements on next …

Although 2D materials are widely explored for data storage and neuromorphic computing,
the construction of 2D material‐based memory devices with optoelectronic responsivity in …

Non-volatile memory devices, which offer large capacity and mechanical dependability as a
mainstream technology, have played a key role in fostering innovation in modern …

The shrinking of transistors has hit a wall of material degradation and the specialized
electronic applications for complex scenarios have raised challenges in heterostructures …

Continued reduction in transistor size can improve the performance of silicon integrated
circuits (ICs). However, as Moore's law approaches physical limits, high‐performance …

Optoelectronic synapses integrating synaptic and optical-sensing functions exhibit large
advantages in neuromorphic computing for visual information processing and complex …

Two-dimensional heterostructures (2D HSs) have emerged as a new class of materials
where dissimilar 2D materials are combined to synergise their advantages and alleviate …

The demand for computing power has been increasing exponentially since the emergence
of artificial intelligence (AI), internet of things (IoT), and machine learning (ML), where novel …

The development of high-performance memory devices has played a key role in the
innovation of modern electronics. Non-volatile memory devices have manifested high …