Nature Communications,
Journal Year:
2022,
Volume and Issue:
13(1)
Published: Dec. 23, 2022
Devices
with
sensing-memory-computing
capability
for
the
detection,
recognition
and
memorization
of
real
time
sensory
information
could
simplify
data
conversion,
transmission,
storage,
operations
between
different
blocks
in
conventional
chips,
which
are
invaluable
sought-after
to
offer
critical
benefits
accomplishing
diverse
functions,
simple
design,
efficient
computing
simultaneously
internet
things
(IOT)
era.
Here,
we
develop
a
self-powered
vertical
tribo-transistor
(VTT)
based
on
MXenes
multi-sensing-memory-computing
function
multi-task
emotion
recognition,
integrates
triboelectric
nanogenerator
(TENG)
transistor
single
device
configuration
organic
field
effect
(VOFET).
The
tribo-potential
is
found
be
able
tune
ionic
migration
insulating
layer
Schottky
barrier
height
at
MXene/semiconductor
interface,
thus
modulate
conductive
channel
MXene
drain
electrode.
Meanwhile,
sensing
sensitivity
can
significantly
improved
by
711
times
over
TENG
device,
VTT
exhibits
excellent
function.
Importantly,
this
function,
multi-sensing
integration
multi-model
constructed,
improves
accuracy
up
94.05%
reliability.
This
structure
high
sensitivity,
efficiency
accuracy,
provides
application
prospects
future
human-mechanical
interaction,
IOT
high-level
intelligence.
Nano-Micro Letters,
Journal Year:
2023,
Volume and Issue:
15(1)
Published: March 24, 2023
Self-powered
flexible
devices
with
skin-like
multiple
sensing
ability
have
attracted
great
attentions
due
to
their
broad
applications
in
the
Internet
of
Things
(IoT).
Various
methods
been
proposed
enhance
mechano-optic
or
electric
performance
devices;
however,
it
remains
challenging
realize
display
and
accurate
recognition
motion
trajectories
for
intelligent
control.
Here,
we
present
a
fully
self-powered
mechanoluminescent-triboelectric
bimodal
sensor
based
on
micro-nanostructured
mechanoluminescent
elastomer,
which
can
patterned-display
force
trajectories.
The
deformable
liquid
metals
used
as
stretchable
electrode
make
stress
transfer
stable
through
overall
device
achieve
outstanding
mechanoluminescence
(with
gray
value
107
under
stimulus
low
0.3
N
more
than
2000
cycles
reproducibility).
Moreover,
microstructured
surface
is
constructed
endows
resulted
composite
significantly
improved
triboelectric
performances
(voltage
increases
from
8
24
V).
Based
excellent
durability
obtained
composite,
highly
reliable
control
system
by
machine
learning
has
developed
controlling
trolley,
providing
an
approach
advanced
visual
interaction
smart
wearable
electronics
future
IoT
era.
Advanced Materials,
Journal Year:
2022,
Volume and Issue:
34(36)
Published: July 12, 2022
Proportionally
converting
the
applied
mechanical
energy
into
photons
by
individual
mechanoluminescent
(ML)
micrometer-sized
particles
opens
a
new
way
to
develop
intelligent
electronic
skins
as
it
promises
high-resolution
stress
distribution
visualization
and
fast
response.
However,
big
challenge
for
ML
sensing
technology
is
its
low
sensitivity
in
detecting
stress.
In
this
work,
novel
sensor
with
detection
enhanced
two
orders
of
magnitude
developed
combining
proposed
near-distance
imaging
scheme
an
improved
mechano-to-photon
convertor.
The
main
contributor
realization
maximum
photon
harvesting
rate
≈80%
scheme.
shows
high
limit
down
≈kPa
level,
spatial
resolution
254
dpi,
response
interval
3.3
ms,
which
allows
real-time
complex
actions
such
irregular
solid
contacts
or
fluid
impacts,
thus
enables
use
skin,
structural
health
monitoring,
human-computer
interaction.
Nature Communications,
Journal Year:
2022,
Volume and Issue:
13(1)
Published: Dec. 23, 2022
Devices
with
sensing-memory-computing
capability
for
the
detection,
recognition
and
memorization
of
real
time
sensory
information
could
simplify
data
conversion,
transmission,
storage,
operations
between
different
blocks
in
conventional
chips,
which
are
invaluable
sought-after
to
offer
critical
benefits
accomplishing
diverse
functions,
simple
design,
efficient
computing
simultaneously
internet
things
(IOT)
era.
Here,
we
develop
a
self-powered
vertical
tribo-transistor
(VTT)
based
on
MXenes
multi-sensing-memory-computing
function
multi-task
emotion
recognition,
integrates
triboelectric
nanogenerator
(TENG)
transistor
single
device
configuration
organic
field
effect
(VOFET).
The
tribo-potential
is
found
be
able
tune
ionic
migration
insulating
layer
Schottky
barrier
height
at
MXene/semiconductor
interface,
thus
modulate
conductive
channel
MXene
drain
electrode.
Meanwhile,
sensing
sensitivity
can
significantly
improved
by
711
times
over
TENG
device,
VTT
exhibits
excellent
function.
Importantly,
this
function,
multi-sensing
integration
multi-model
constructed,
improves
accuracy
up
94.05%
reliability.
This
structure
high
sensitivity,
efficiency
accuracy,
provides
application
prospects
future
human-mechanical
interaction,
IOT
high-level
intelligence.
