With the advent of the generation of artificial intelligence (AI) based on big data-processing
technologies, next-generation memristor and memristive neuromorphic devices have been …

The pursuit of advanced brain‐inspired electronic devices and memory technologies has led
to explore novel materials by processing multimodal and multilevel tailored conductive …

The efficient conduction of mobile ions in halide perovskites is highly promising for artificial
synapses (or memristive devices), devices with a conductivity that can be varied by applying …

Advances in the semiconductor industry have been limited owing to the constraints imposed
by silicon-based CMOS technology; hence, innovative device design approaches are …

Conjugated polyelectrolytes featuring both a hydrophobic π-conjugated polymer backbone
and hydrophilic side chains exhibit many outstanding properties such as enhanced ionic …

Natural plant-material-based memory devices have been in the spotlight due to their
versatile applications ranging from nonvolatile memory to neuromorphic computations …

The rapid advancement of neuromorphic computing demands innovative hardware
solutions capable of efficiently mimicking the functionality of biological neural systems. In …

Computational systems inspired by the human brain are being researched to minimize high
power consumption and memory instability in traditional computers. Metal halide …

Brain-inspired neuromorphic sensory devices play a crucial role in addressing the
limitations of von Neumann systems in contemporary computing. Currently, synaptic devices …

Increased reliance on artificial intelligence and machine learning for modern day computing
has imposed great strain on the performance of the underlying hardware. As conventional …