Two dimensional (2D) materials have offered unique electrical, chemical, mechanical and
physical properties over the past decade owing to their ultrathin, flexible, and multilayer …

Resistive random access memory would be an important component of microelectronics in
the era of big data storage due to its efficient characteristics such as low cost, fast operating …

The implementation of memristive synapses in neuromorphic computing is hindered by the
limited reproducibility and high energy consumption of the switching behaviour of the …

The future generation of digital technology will heavily rely on power efficient non-volatile
resistive memory systems as a potential alternative to flash memory due to its limitations in …

The modern-day computing technologies are continuously undergoing a rapid changing
landscape; thus, the demands of new memory types are growing that will be fast, energy …

Low power and high switching ratio are the development direction of the next generation of
resistive random access memory (RRAM). Previous techniques could not increase the …

Because of the continual advancements in the artificial intelligence technology, its practical
applications (eg, in computer vision, health care, and pattern recognition) are expanding …

Controlled resistive switching behavior has shown potential for brain-inspired functionalities
and feasibility for multi-functional photelectric sensors. For the first time, bias-polarity …

Metal/semiconductor nanocomposites present the most versatile way to tune the optical and
electrical properties of semiconductors at the nanometer scale. In the present study, Au/ZnO …

The approaching end of Moore's law scaling has significantly accelerated multiple fields of
research including neuromorphic-, quantum-, and photonic computing, each of which …