Despite technical efforts and upgrades, advances in complementary metal–oxide–
semiconductor circuits have become unsustainable in the face of inherent silicon limits. New …

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

Logic-in-memory architectures could be used to develop efficient computing devices with
low power consumption. However, the approach is limited by device performance issues …

The co-integration of logic switches and neuromorphic functions could be used to create
new computing architectures with low power consumption and novel functionalities. Two …

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

The discovery of two‐dimensional (2D) materials with unique electronic, superior
optoelectronic, or intrinsic magnetic order has triggered worldwide interest in the fields of …

Reconfigurable logic and neuromorphic devices are crucial for the development of high-
performance computing. However, creating reconfigurable devices based on conventional …

With the advent of the big data era, applications are more data-centric and energy efficiency
issues caused by frequent data interactions, due to the physical separation of memory and …

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 logic gates (OELGs) are promising building blocks for next-generation logic
circuits and potential applications in light detection and ranging, machine vision and real …