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RRAM

Resistive random-access memory (RRAM) is a non-volatile memory that stores data by changing the resistance of a dielectric switching layer within a metal–insulator–metal stack. Data are encoded in two resistance states: high (HRS) and low (LRS). The state is switched by applying voltage or current, typically in a bipolar fashion (set to LRS, reset to HRS) or, in some devices, unipolar. The switching is commonly attributed to formation and rupture of conductive filaments (such as oxygen vacancies or metal ions) or to interface-type changes that alter barrier height at the metal–insulator interface.

Device architectures commonly use crossbar arrays; to avoid current sneak paths, selector devices (diodes or transistors)

Materials: oxide-based switching materials including hafnium oxide, tantalum oxide, titanium oxide, as well as other systems

Performance and applications: RRAM promises fast programming and reading speeds, low operating voltages, excellent scalability to

Status: RRAM is under active research and development with several commercial demonstrations and ongoing efforts by

are
integrated,
resulting
in
1T1R
or
1D1R
configurations.
The
basic
structure
is
a
simple
metal–insulator–metal
sandwich,
but
practical
implementations
use
oxide
or
nitride
layers
(e.g.,
HfO2,
TiO2,
Ta2O5)
and
sometimes
porous
or
doped
materials.
A
forming
step
is
often
required
to
initialize
the
device.
like
perovskites
or
chalcogenides.
The
switching
mechanism,
device-to-device
variability,
endurance
and
retention
depend
on
material
and
structure.
Manufacturing
is
pursued
for
CMOS
compatibility.
nanoscale
features,
and
non-volatility,
making
it
candidates
for
storage-class
memory
and
embedded
memory,
as
well
as
neuromorphic
computing
for
synaptic
weight
storage.
Challenges
include
controlling
variability,
improving
retention
and
endurance,
and
developing
reliable
selectors
to
enable
dense
arrays.
companies
and
research
institutes.
While
not
yet
universally
adopted
as
a
mainstream
memory
technology,
it
is
considered
a
leading
candidate
for
future
non-volatile
memory
architectures.