Memristors show great potential for being integrated into CMOS technology and provide
new approaches for designing computing-in-memory (CIM) systems, brain-inspired …

Cutting edge science and technology needs high quality data storage devices for their
applications in artificial intelligence and digital industries. Resistive random access memory …

One of the most enticing candidates for next-generation computing systems is the memristor.
Memristor-based novel architectures have demonstrated considerable promise in replacing …

Due to the rise in data-intensive applications, the von Neumann bottleneck is increasingly
restricting modern computer architectures, resulting to latency and energy consumption …

Although pure electric vehicles have the advantages of environmental protection and energy
conservation, due to the constraints of power lithium-ion battery technology, they have a …

Irregular brain activity is of interest to researchers and scientists who are trying to
understand, model, compare, and provide novel solutions to existing and challenging …

Photoelectric memristors have the advantages of highly parallel computing and large-scale
interconnection, which provides a promising method for reconfigurable logic operations and …

Computing demands are growing rapidly as bigdata and artificial intelligence applications
become increasingly tasking. Bio-inspired and quantum-based techniques are proving to be …

Abstract Through Random Telegraph Noise (RTN) analysis, valuable information can be
provided about the role of defect traps in fine tuning and reading of the state of a …

Si 3 N 4-based ReRAM devices showcase intriguing performance characteristics of low
switching threshold, high endurance and retention that lay the foundations for the …