The search for alternatives to traditional Li-ion batteries has sparked interest in the chemistry
and manufacturing of solid-state Li-ion conductors. Li-ion conductors are traditionally …

Neuromorphic systems consisting of artificial neurons and memristive synapses could
provide a much better performance and a significantly more energy-efficient approach to the …

Typical filament-type memristors suffer from temporal and spatial variations in the resistive
switching due to stochastic filament formation, which hinders the implementation of …

Specialized hardware for neural networks requires materials with tunable symmetry,
retention, and speed at low power consumption. The study proposes lithium titanates …

Different logic circuits based on memristors have been extensively investigated. However,
most of these circuits require accurate initialization. A self-learning logic circuit based on …

MLP-Mixer based on multilayer perceptrons (MLPs) is a novel architecture of a
neuromorphic computing system (NCS) introduced for image classification tasks without …

Droplet wetting and manipulation are essential for the efficient functioning of many
applications, ranging from microfluidic applications to electronic devices, agriculture …

While mixed ionic-electronic conductors with metal-insulator transition (MIT) are promising
candidates for designing neuromorphic computing hardware, the fundamentals of resistive …

Based on the LiNbO 3 (LN) single crystal thin film prepared using Ar+ etching, an LN thin
film memristor was fabricated by oxygen annealing. Atomic force microscope, scanning …

Memristors are an electronic device whose resistance depends on the voltage history that
has been applied to its two terminals. Despite its clear advantage as a computational …