Memristors are non-volatile nano-resistors which resistance can be tuned by applied
currents or voltages and set to a large number of levels. Thanks to these properties …

Spin‐torque memristors are proposed in 2009, and can provide fast, low‐power, and infinite
memristive behavior for neuromorphic computing and large‐density non‐volatile memory …

Memristors, demonstrated by solid‐state devices with continuously tunable resistance, have
emerged as a new paradigm for self‐adaptive networks that require synapse‐like functions …

Existence of spintronic memristor in nanoscale is demonstrated based upon spin-torque-
induced magnetization switching and magnetic-domain-wall motion. Our examples show …

All 2-terminal non-volatile memory devices based on resistance switching are memristors,
regardless of the device material and physical operating mechanisms. They all exhibit a …

Memristors are continuously tunable resistors that emulate biological synapses,.
Conceptualized in the 1970s, they traditionally operate by voltage-induced displacements of …

We present coupled spin torque nano oscillators (STNOs) as electronic neurons for efficient
brain-inspired computation. The coupled STNOs show two distinct outputs, depending on …

The memristor is a promising candidate to implement high-density memory and
neuromorphic computing. Based on the characteristic retention time, memristors are …

Ion migration as well as electron transfer and coupling in resistive switching materials
endow memristors with a physically tunable conductance to resemble synapses, neurons …

Memristors are promising building blocks for the next-generation memory and neuromorphic
computing systems. Most memristors use materials that are incompatible with the silicon …