The emergence of memristors with potential applications in data storage and artificial
intelligence has attracted wide attentions. Memristors are assembled in crossbar arrays with …

Memristors, promising nanoelectronic devices with in-memory resistive switching behavior
that is assembled with a physically integrated core processing unit (CPU) and memory unit …

Optoelectronic synaptic devices that mimic biological synapses are critical building blocks of
artificial neural networks (ANN) based on optoelectronic integration. Here it is shown that an …

The large-scale crossbar array is a promising architecture for hardware-amenable energy
efficient three-dimensional memory and neuromorphic computing systems. While accessing …

Biomemristor has attracted a lot of attention due to its excellent scalability, high flexibility,
easy processing and low fabrication cost. Natural biomaterial and polymer-based memristor …

Interplay between ions and electrons endows memristor with promising applications from
the high density storages, memory logic gates to neuromorphic chips. The interplay-induced …

Given the synergy of optogenetics and bioimaging in neuroscience, it is possible for light to
simultaneously modulate and visualize synaptic events of optoelectronic synaptic devices …

Diverse synaptic plasticity with a wide range of timescales in biological synapses plays an
important role in memory, learning, and various signal processing with exceptionally low …

Neuromorphic computing inspired by memristors has gained considerable attention due to
its low power and easy integration. However, state‐of‐the‐art two‐terminal resistive …

To realize ultrafast and energy-efficient electronic devices, reducing the switching voltage
slope for ON and OFF states that scales the supply voltage and device dimensions is critical …