In-memory computing (IMC) has emerged as a new computing paradigm able to alleviate or
suppress the memory bottleneck, which is the major concern for energy efficiency and …

Biological visual system can efficiently handle optical information within the retina and visual
cortex of the brain, which suggests an alternative approach for the upgrading of the current …

The ability to scale two-dimensional (2D) material thickness down to a single monolayer
presents a promising opportunity to realize high-speed energy-efficient memristors. Here …

We developed a physical model to fundamentally understand the conductive filament (CF)
formation and growth behavior in the switching layer during electroforming process in the …

In this paper, a unified and open linear technology simulation program with integrated circuit
emphasis (LTSPICE) memristor library is proposed. It is suitable for the analysis, design, and …

Due to their significant resemblance to the biological brain, spiking neural networks (SNNs)
show promise in handling spatiotemporal information with high time and energy efficiency …

Scalable and flexible communication networks increasingly conduct the packet processing
for Network Functions (NFs) in General Purpose Computing (GPC) platforms. The …

The rapid advancement of new technologies has resulted in a surge of data, while
conventional computers are nearing their computational limits. The prevalent von Neumann …

We report on the synthesis and characterization of a colloidal graphitic carbon nitride (gC 3
N 4) system exhibiting complex memfractance behavior. The gC 3 N 4 colloid was prepared …

Abstract Information‐processing devices are the core components of modern electronics.
Integrating them into textiles is the indispensable demand for electronic textiles to form close …