This review addresses resistive switching devices operating according to the bipolar
valence change mechanism (VCM), which has become a major trend in electronic materials …

Modern computation based on von Neumann architecture is now a mature cutting-edge
science. In the von Neumann architecture, processing and memory units are implemented …

In the growing area of neuromorphic and in-memory computing, there are multiple reviews
available. Most of them cover a broad range of topics, which naturally comes at the cost of …

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 …

Bipolar resistive switching (BRS) cells based on the valence change mechanism show great
potential to enable the design of future non-volatile memory, logic and neuromorphic circuits …

Among many artificial neural networks, the research on Spike Neural Network (SNN), which
mimics the energy-efficient signal system in the brain, is drawing much attention. Memristor …

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 …

Neuromorphic computation based on resistive switching devices represents a relevant
hardware alternative for artificial deep neural networks. For the highest accuracies on …

The multidisciplinary field of memristors calls for the necessity for theoretically‐inclined
researchers and experimenters to join forces, merging complementary expertise and …

The in‐memory computing paradigm aims at overcoming the intrinsic inefficiencies of Von‐
Neumann computers by reducing the data‐transport per arithmetic operation. Crossbar …