Signal processing is of critical importance for various science and technology fields. Analog
optical processing can provide an effective solution to perform large-scale and real-time …

Physical neural networks are artificial neural networks that mimic synapses and neurons
using physical systems or materials. These networks harness the distinctive characteristics …

To overcome the von Neumann bottleneck between memory and computing, the novel
architectures with computing in‐memory are paid much attention and expected to be …

The quantity of sensor nodes within current computing systems is rapidly increasing in
tandem with the sensing data. The presence of a bottleneck in data transmission between …

Reaping the advantages of their exceptional humidity-sensitive elements, humidity sensors
exhibit a remarkable ability to adapt to alterations in ambient moisture levels. The …

Nonreciprocal quantum transport effect is mainly governed by the symmetry breaking of the
material systems and is gaining extensive attention in condensed matter physics. Realizing …

Low-dimensional multiferroics, which simultaneously possess at least two primary ferroic
order parameters, hold great promise for post-Moore electronic devices. However, intrinsic …

Schottky contacts have attracted widespread attention from both the electronic device
industry and researchers since their discovery. The Schottky characteristics make these …

Developing multifunctional nanoelectronics will facilitate simplifying the circuits for future
high‐integrated system. CuInP2S6 (CIPS) exhibiting ferroionic phenomena allows the …

This study utilizes first-principles calculations to investigate the magnetic properties of NiO
doped and co-doped with transition metals (TM) such as vanadium (V), chromium (Cr), and …