Efforts to design devices emulating complex cognitive abilities and response processes of
biological systems have long been a coveted goal. Recent advancements in flexible …

Memristors have recently attracted significant interest due to their applicability as promising
building blocks of neuromorphic computing and electronic systems. The dynamic …

Neuromorphic computing memristors are attractive to construct low-power-consumption
electronic textiles due to the intrinsic interwoven architecture and promising applications in …

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

Synaptic devices, including synaptic memristor and synaptic transistor, are emerging
nanoelectronic devices, which are expected to subvert traditional data storage and …

Emerging flexible artificial sensory systems using neuromorphic electronics have been
considered as a promising solution for processing massive data with low power …

The latest developments in bio-inspired neuromorphic vision sensors can be summarized in
3 keywords: smaller, faster, and smarter.(1) Smaller: Devices are becoming more compact …

MXene, a new state-of-the-art two-dimensional (2D) nanomaterial, has attracted
considerable interest from both industry and academia because of its excellent electrical …

The memristor is a resistive switch where its resistive state is programable based on the
applied voltage or current. Memristive devices are thus capable of storing and computing …

Brain‐inspired neuromorphic computing is a new paradigm that holds great potential to
overcome the intrinsic energy and speed issues of traditional von Neumann based …