Memristors in electronics have shown the potential for a range of applications, ranging from
circuit elements to neuromorphic computing. In recent years, the ability to vary the …

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

Exploration of optoelectronic memristors with the capability to combine sensing and
processing functions is required to promote development of efficient neuromorphic vision. In …

Ultrathin dielectric gaps between metals can trap plasmonic optical modes with surprisingly
low loss and with volumes below 1 nm3. We review the origin and subtle properties of these …

The primer-guided entropy-driven high-throughput evolution of the DNA-based
constitutional dynamic network, CDN, is introduced. The entropy gain associated with the …

Phase change materials (PCMs) have long been used as a storage medium in rewritable
compact disk and later in random access memory. In recent years, integration of PCMs with …

This review article attempts to provide a comprehensive review of the recent progress in the
so-called resistive random access memories (RRAMs). First, a brief introduction is presented …

Optoelectronic memristors (OMs) have emerged as a promising optoelectronic
Neuromorphic computing paradigm, opening up new opportunities for neurosynaptic …

The traditional ways of tuning a silicon photonic network are mainly based on the thermo-
optic effect or the free carrier dispersion. The drawbacks of these methods are the volatile …

Optical memristive switches can be used as optical latching switches in which the switching
state is changed only by applying an electrical Write/Erase pulse and maintained without an …