Resistive switching (RS) is an interesting property shown by some materials systems that,
especially during the last decade, has gained a lot of interest for the fabrication of electronic …

The advent of dedicated Deep Learning (DL) accelerators and neuromorphic processors
has brought on new opportunities for applying both Deep and Spiking Neural Network …

Memristors are novel electrical devices used for a variety of applications, including memory,
logic circuits, and neuromorphic systems. Memristive technologies are attractive due to their …

Memristive devices are two-terminal devices that can change their resistance state upon
application of appropriate voltage stimuli. The resistance can be tuned over a wide …

Realizing logic operations within passive crossbar memory arrays is a promising approach
to enable novel computer architectures, different from conventional von Neumann …

Ionic transport greatly influences the switching kinetics of filamentary resistive switching
memories and depends strongly on temperature and electric fields. To separate the impact …

The development of a bioinspired image sensor, which can match the functionality of the
vertebrate retina, has provided new opportunities for vision systems and processing through …

The resistive switching in metal–oxide thin films typically occurs via modulation of the
oxygen content in nano-sized conductive filaments. For Ta2O5-based resistive switching …

Since thermal effects play a major role in filamentary RRAM devices, we compare the two
localized thermometry methods developed for such devices. One method is based on short …

Big data applications involved with neural networks requires frequent data transfer between
memory and processing elements and thus, take a significant portion of energy. One …