Metal halide perovskites (MHPs) have been a hot research topic due to their facile synthesis,
excellent optical and optoelectronic properties, and record‐breaking efficiency of …

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

Many in-memory computing frameworks demand electronic devices with specific switching
characteristics to achieve the desired level of computational complexity. Existing memristive …

The performance of conventional computer based on von Neumann architecture is limited
due to the physical separation of memory and processor. By synergistically integrating …

The rapid development of information technology has led to urgent requirements for high
efficiency and ultralow power consumption. In the past few decades, neuromorphic …

Metal halide perovskites have recently emerged as promising candidates for the next
generation of X-ray detectors due to their excellent optoelectronic properties. Especially, two …

Perovskite materials have driven tremendous advances in constructing electronic devices
owing to their low cost, facile synthesis, outstanding electric and optoelectronic properties …

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 …

Synapses are essential for the transmission of neural signals. Synaptic plasticity allows for
changes in synaptic strength, enabling the brain to learn from experience. With the rapid …

Simulating biological synapses with electronic devices is a re‐emerging field of research. It
is widely recognized as the first step in hardware building brain‐like computers and artificial …