Giant memory function based on the magnetic field history of resistive switching under a constant bias voltage
Memristors, which are characterized by their unique input-voltage-history-dependent resistance, have garnered significant attention for the exploration of next-generation in-memory computing, reconfigurable logic circuits, and neural networks. Memristors are controlled by the applied input voltage;...
Saved in:
Main Authors | , , , , , , , , , , |
---|---|
Format | Journal Article |
Language | English |
Published |
06.11.2024
|
Subjects | |
Online Access | Get full text |
Cover
Loading…
Summary: | Memristors, which are characterized by their unique
input-voltage-history-dependent resistance, have garnered significant attention
for the exploration of next-generation in-memory computing, reconfigurable
logic circuits, and neural networks. Memristors are controlled by the applied
input voltage; however, the latent potential of their magnetic field
sensitivity for spintronics applications has rarely been explored. In
particular, valuable functionalities are expected to be yielded by combining
their history dependence and magnetic field response. Here, for the first time,
we reveal a giant memory function based on the magnetic field history of
memristive switching, with an extremely large magnetoresistance ratio of up to
32,900% under a constant bias voltage, using a two-terminal Ge-channel device
with Fe/MgO electrodes. We attribute this behavior to colossal magnetoresistive
switching induced by the d0 ferromagnetism of Mg vacancies in the MgO layers
and impact ionization breakdown in the Ge substrate. Our findings may lead to
the development of highly sensitive multi-field sensors, high-performance
magnetic memory, and advanced neuromorphic devices. |
---|---|
DOI: | 10.48550/arxiv.2411.04355 |