The rapid development of information technology has led to urgent requirements for high
efficiency and ultralow power consumption. In the past few decades, neuromorphic …

Memristive devices are electrical resistance switches that can retain a state of internal
resistance based on the history of applied voltage and current. These devices can store and …

Memristors are memory resistors that promise the efficient implementation of synaptic
weights in artificial neural networks. Whereas demonstrations of the synaptic operation of …

Using memristive properties common for titanium dioxide thin film devices, we designed a
simple write algorithm to tune device conductance at a specific bias point to 1% relative …

We demonstrate over 1× 10 10 open-loop switching cycles from a simple memristive device
stack of Pt/TaO x/Ta⁠. We compare this system to a similar device stack based on titanium …

Memristive devices are promising candidates for the next generation non-volatile memory
and neuromorphic computing. It has been widely accepted that the motion of oxygen anions …

Lead halide perovskites have attracted increasing attention in photovoltaic devices, light‐
emitting diodes, photodetectors, and other fields due to their excellent properties. Besides …

Memristors have been intensively studied in recent years as potential building blocks for the
construction of versatile neuromorphic architectures. The prevalent developments focus on …

Resistive memory (ReRAM) based on a solid-electrolyte insulator is a promising nanoscale
device and has great potentials in nonvolatile memory, analog circuits, and neuromorphic …

There has been a surge of interest in Non-Volatile Memory (NVM) in recent years. With
many advantages, such as density and power consumption, NVM is carving out a place in …