MXenes
stand
out
in
Triboelectric
Nanogenerator
devices
due
to
their
tunable
surface
terminations,
structural
diversity,
and
excellent
electrical
conductivity.
However,
no
consensus
has
been
reached
when
comparing
the
performance
of
MXenes.
This
study
presents
first
theory-driven
framework
that
links
triboelectric
behavior
atomic-scale
properties.
It
also
introduces
a
computational
approach
for
benchmarking
materials,
offering
an
alternative
traditional
series
method.
By
combining
analytical
models
with
density
functional
theory
(DFT)
calculations,
we
evaluate
48
MXene
members
(M2XT2,
M
=
Ti,
V,
Cr,
Mn;
X
C
N;
Tx
F,
O,
OH,
Cl,
H,
N)
based
on
key
physicochemical
parameters:
bandgap,
work
function,
charge
density,
effective
states.
Results
highlight
exceptional
potential
specific
MXenes,
such
as
Mn2CF2,
Mn2NF2,
Ti2NN2,
Cr2CO2,
negative
friction
layers
electron
trappers
high
function
superior
density.
Additionally,
OH
like
V2C(OH)2,
Cr2N(OH)2,
Ti2C(OH)2,
Ti2N(OH)2
demonstrate
optimal
positive
layers.
Abstract
Amid
the
global
energy
crisis
and
rising
emphasis
on
sustainability,
efficient
harvesting
has
become
a
research
priority.
Nanogenerators
excel
in
converting
abundant
mechanical
thermal
into
electricity,
offering
promising
path
for
sustainable
solutions.
Among
various
nanogenerator's
materials,
Polyvinylidene
fluoride
(PVDF),
with
its
distinctive
molecular
structure,
exhibits
multifunctional
electrical
properties
including
dielectric,
piezoelectric
pyroelectric
characteristics.
These
combined
excellent
flexibility
make
PVDF
prime
candidate
material
nanogenerators.
In
nanogenerators,
this
is
capable
of
efficiently
collecting
energy.
This
paper
discusses
how
PVDF's
are
manifested
three
types
nanogenerators
compares
performance
these
addition,
strategies
to
improve
output
demonstrated,
physical
chemical
modification
as
well
structural
optimization
such
hybrid
structures
external
circuits.
It
also
introduces
application
natural
human
harvesting,
prospects
medical
technologies
smart
home
systems.
The
aim
promote
use
self‐powered
sensing,
monitoring,
thereby
providing
valuable
insights
designing
more
versatile
RSC Advances,
Год журнала:
2025,
Номер
15(3), С. 1618 - 1624
Опубликована: Янв. 1, 2025
Modification
of
the
dielectric
friction
layer
materials
is
an
ideal
way
to
enhance
output
performance
a
triboelectric
nanogenerator
(TENG),
but
current
research
mostly
focuses
on
metal-polymer
or
metal-SiO2
materials.
In
this
work,
we
constructed
different
TENG
models
based
polymer
C
x
F
y
-SiO2
electret
materials,
and
electronic
properties
contact
surfaces
were
investigated
using
first
principles.
We
found
that
charge
transfer
in
occurred
only
at
interface,
it
was
partially
affected
by
terminal
atoms
near
SiO2
interface.
The
with
O-terminated
achieved
more
satisfactory
effect.
Among
them,
II-C3F6-O
model
exhibited
highest
amount
because
better
hybridization
II-C3F6
O
layer.
Our
study
showed
instead
adding
types
layers,
varying
configurations
same
layers
alternative
regulate
transfer.
Furthermore,
strategy
could
provide
new
ideas
for
enhancing
TENGs.
Advanced Science,
Год журнала:
2025,
Номер
unknown
Опубликована: Май 14, 2025
Abstract
Harvesting
energy
from
distributed
mechanical
motions
has
garnered
significance
in
future
power
sources
for
small
electronics
and
sensors.
Although
technologies
like
triboelectric
nanogenerators
have
shown
promising
results,
their
efficacy
hinges
on
the
alignment
of
motion
vectors
device
architectures.
Here,
an
approach
employing
stationary
diode
cells
(DiCes)
to
generate
electricity
is
presented.
This
leverages
dynamically
changing
electrostatic
fields
induce
potential
differences
across
junctions
via
induction,
which
verified
theoretically
experimentally.
DiCes
constructed
with
multiple
diodes
can
directly
output
DC
voltage
current.
A
0.02
m
2
sized
DiCe
contains
360
supply
a
current
maximum
490
V
1.08
mA,
respectively,
equals
density
26.5
W·m
−2
.
Capable
functioning
both
contact
non‐contact
modes,
offer
versatile
applications,
wirelessly
powering
implanted
medical
devices
harvesting
vehicles
roads.
Abstract
With
the
advancement
of
intelligent
and
refined
manufacturing,
demand
for
vibration
sensors
in
smart
equipment
has
surged.
Traditional
commercial
triboelectric
nanogenerator
(TENG)‐based
are
limited
to
basic
amplitude
frequency
recognition,
failing
address
both
self‐powering
diagnostic
needs
due
inherent
design
constraints.
To
overcome
these
limitations,
this
study
introduces
a
novel
mechanism
combining
interface
dipole
energy
vacuum
level
optimization
materials
explain
charge
generation
separation
under
vibration.
A
TENG
device
with
polydimethylsiloxane
(PDMS)‐encapsulated
metal
electrode
is
designed
developed,
enabling
precise
recognition
operating
status
through
waveform
analysis.
By
optimizing
contact
area
electron
transfer
capacity,
achieves
enhanced
signal
clarity
introduction
subtler
characteristics
waveform.
Furthermore,
integration
deep
learning
algorithm
enables
high‐resolution
classification
states
an
accuracy
98.3%
approximately,
achieving
effective
monitoring
jaw
crusher
vibrating
screen.
This
work
not
only
verifies
feasibility
designing
self‐powered
sensor
but
also
demonstrates
its
potential
real‐time
applications
equipment.
Nanomaterials,
Год журнала:
2025,
Номер
15(5), С. 367 - 367
Опубликована: Фев. 27, 2025
Flexible
devices
are
soft,
lightweight,
and
portable,
making
them
suitable
for
large-area
applications.
These
features
significantly
expand
the
scope
of
electronic
demonstrate
their
unique
value
in
various
fields,
including
smart
wearable
devices,
medical
health
monitoring,
human-computer
interaction,
brain-computer
interfaces.
Protein
materials,
due
to
molecular
structure,
biological
properties,
sustainability,
self-assembly
ability,
good
biocompatibility,
can
be
applied
enhance
sensitivity,
stability,
mechanical
strength,
energy
density,
conductivity
devices.
Protein-based
flexible
have
become
an
important
research
direction
fields
bioelectronics
wearables,
providing
new
material
support
development
more
environmentally
friendly
reliable
electronics.
Currently,
many
proteins,
such
as
silk
fibroin,
collagen,
ferritin,
so
on,
been
used
biosensors,
memristors,
storage
power
generation
Therefore,
this
paper,
we
provide
overview
related
field
protein-based
concept
characteristics
fabrication
processes,
characterization,
evaluation,
point
out
future
Advanced Functional Materials,
Год журнала:
2025,
Номер
unknown
Опубликована: Март 11, 2025
Abstract
Flexible
sensing
electronics,
with
good
lightweight
and
flexibility,
can
maintain
excellent
capability
while
fitting
complex
curved
surfaces,
having
important
applications
in
wearable
devices,
medical
health
monitoring,
robotics.
The
rapid
advancement
of
metal‐organic
frameworks
(MOFs)
has
created
the
prospect
additional
improvements
flexible
sensors.
porous
structure
brings
them
a
high
specific
surface
area,
meaning
that
when
used
as
sensitive
materials
for
sensors,
sensitivity
selectivity
be
achieved.
Meanwhile,
performance
stability
MOF‐based
sensors
further
enhanced
by
modifying
MOFs’
or
compounding
other
materials,
which
is
crucial
manufacturing
utilized
working
conditions.
Herein,
MOFs
systematically
reviewed.
First,
common
series
MOFs,
preparation
modification
methods,
highly
conductive
are
introduced.
application
then
expounded,
including
self‐powered
mechanical
sensing,
gas
liquid
analyte
multi‐target/mode
sensing.
It
believed
better
response
capabilities
developed
processes
advance,
expected
to
more
widely
future
promote
development
technologies
such
human‐computer
interaction
technology.
