Square-shaped or rectangular nanoparticles (NPs) of lanthanum oxide (LaOx) were
synthesized and layered by convective self-assembly to demonstrate an analog memristive …

In recent years, many metal oxides have been rigorously studied to be employed as solid
electrolytes for resistive switching (RS) devices. Among these solid electrolytes, lanthanum …

Neuromorphic computing architecture is considered to be a highly desirable next-generation
computing architecture as it simulates the way the brain processes information. The basic …

Memristors are one of the fastest developing electronic devices in the field of data storage
and brain inspired neural computing. As a two terminal device, memristors are numerously …

Titanium dioxide memristors are promising next generation devices for neuromorphic
computing, which can mimic synapses of human brain. With respect to meet satisfactory …

Neuromorphic computing based on memristors capable of in-memory computing is
promising to break the energy and efficiency bottleneck of well-known von Neumann …

Resistive random-access memory (RRAM) devices have significant advantages for
neuromorphic computing but have fatal problems of uncontrollability and abrupt resistive …

Synapses and neurons in artificial intelligence are acknowledged as pivotal elements in
constructing neuromorphic computing systems. Specifically, organic material-based …

Controlled conductive filament formation in the resistive random access memory device is
an essential requirement for analog resistive switching to develop artificial synapses. In this …

Memristors can be used to mimic synaptic behavior in artificial neural networks, which
makes them a key component in neuromorphic computing and holds promise for advancing …