Nano Letters,
Journal Year:
2024,
Volume and Issue:
24(26), P. 8198 - 8207
Published: June 21, 2024
Responsive
luminescent
materials
that
reversibly
react
to
external
stimuli
have
emerged
as
prospective
platforms
for
information
encryption
applications.
Despite
brilliant
achievements,
the
existing
fluorescent
usually
low
density
and
experience
inevitable
loss
when
subjected
mechanical
damage.
Here,
inspired
by
hierarchical
nanostructure
of
proteins
in
jellyfish,
we
propose
a
self-healable,
photoresponsive
elastomer
based
on
dynamic
interface-anchored
borate
nanoassemblies
smart
dual-model
encryption.
The
rigid
cyclodextrin
molecule
restricts
movement
guest
molecules,
enabling
long
room-temperature
phosphorescence
(0.37
s)
excitation
wavelength-responsive
fluorescence.
building
reversible
interfacial
bonding
between
polymer
matrix
together
with
their
nanoconfinement
effect
endows
nanocomposites
excellent
performances
(tensile
strength
15.8
MPa)
superior
functional
recovery
capacities
after
Such
supramolecular
interfaces
enable
simultaneous
material
functionalization
self-healing,
paving
way
development
advanced
materials.
Small,
Journal Year:
2024,
Volume and Issue:
unknown
Published: May 6, 2024
Abstract
The
construction
of
flexible
actuators
with
ultra‐fast
actuation
and
robust
mechanical
properties
is
crucial
for
soft
robotics
smart
devices,
but
still
remains
a
challenge.
Inspired
by
the
unique
mechanism
pinecones
dispersing
seeds
in
nature,
hygroscopic
actuator
interlayer
network‐bonding
connected
gradient
structure
fabricated.
Unlike
most
conventional
bilayer
designs,
strategy
leverages
biobased
polyphenols
to
construct
strong
interfacial
H‐bonding
networks
between
1D
cellulose
nanofibers
2D
graphene
oxide,
endowing
materials
high
tensile
strength
(172
MPa)
excellent
toughness
(6.64
MJ
m
−3
).
Furthermore,
significant
difference
hydrophilicity
GO
rGO,
along
dense
H‐bonding,
enables
water
exchange
during
absorption
desorption
processes.
resulted
exhibits
driving
speed
(154°
s
−1
),
pressure‐resistant
cyclic
stability.
Taking
advantages
these
benefits,
can
be
fabricated
into
devices
(such
as
grippers,
humidity
control
switches)
potential
practical
applications.
presented
approach
constructing
structures
instructive
achieving
performance
functionalization
biomass
nanomaterials
complex
1D/2D
nanomaterials.
Advanced Functional Materials,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Feb. 28, 2025
Abstract
The
application
of
self‐healing
superhydrophobic
triboelectric
nanogenerators
(TENGs)
is
currently
limited
by
their
poor
wear
resistance,
which
stems
from
reliance
on
nano/microscale
hierarchical
structures.
Drawing
inspiration
corals,
this
study
presents
the
development
ultra‐wear‐resistant
TENGs
with
sub‐zero
temperature
capability
(USSS‐TENGs)
incorporating
rationally
designed
hydrophobic
polyurethane
(SFPU)
and
poly(vinylidene
fluoride)
nanoparticles
(PVDF
NPs)
into
iron
foams.
rigid
protruding
structures
foams
protect
incorporated
SFPU–PVDF
NPs
composites
preferentially
making
contact
bearing
stress
foreign
objects.
This
innovative
design
enables
USSS‐TENGs
to
maintain
superhydrophobicity
after
repeated
sandpaper
abrasion,
knife
scratching,
even
car
transit,
demonstrating
a
superior
resistance
compared
other
materials.
Furthermore,
driven
free
energy
minimization,
migration
SFPU
damaged
areas
self‐heal
at
−30
°C,
underwater,
in
vacuum.
Owing
outstanding
superhydrophobicity,
show
great
potential
as
smart
roofs
floor
tiles,
capable
providing
stable
durable
electricity
generation
processes
such
precipitation,
human
walking/jumping,
vehicle
movement.
has
not
been
previously
reported
for
TENGs,
irrespective
properties.
Nanomaterials,
Journal Year:
2024,
Volume and Issue:
14(2), P. 165 - 165
Published: Jan. 12, 2024
The
advancement
of
the
Internet
Things
(IoT)
has
increased
demand
for
large-scale
intelligent
sensing
systems.
periodic
replacement
power
sources
ubiquitous
systems
leads
to
significant
resource
waste
and
environmental
pollution.
Human
staffing
costs
associated
with
also
increase
economic
burden.
triboelectric
nanogenerators
(TENGs)
provide
both
an
energy
harvesting
scheme
possibility
self-powered
sensing.
Based
on
contact
electrification
from
different
materials,
TENGs
a
rich
material
selection
collect
complex
diverse
data.
As
data
collected
by
become
increasingly
numerous
complex,
approaches
machine
learning
(ML)
deep
(DL)
algorithms
have
been
proposed
efficiently
process
output
signals.
In
this
paper,
latest
advances
in
ML
assisting
solid-solid
TENG
liquid-solid
sensors
are
reviewed
based
sample
size
complexity
pros
cons
various
analyzed
application
scenarios
presented.
prospects
synergizing
hardware
(TENG
sensors)
software
(ML
algorithms)
environment
their
main
challenges
future
developments
discussed.
Small,
Journal Year:
2024,
Volume and Issue:
20(27)
Published: Feb. 2, 2024
Abstract
Flexible
actuators
with
excellent
adaptability
and
interaction
safety
have
a
wide
range
of
application
prospects
in
many
fields.
However,
current
flexible
problems
such
as
fragility
poor
actuating
ability.
Here,
inspired
by
the
features
nacre
structure,
gradient
structured
actuator
is
proposed
mechanical
robustness
self‐healing
By
introducing
dynamic
boronic
ester
bonds
at
interface
between
MXene
nanosheets
epoxy
natural
rubber
matrix,
resulting
nanocomposites
ordered
micro‐nano
structures
exhibit
tensile
strength
(25.03
MPa)
satisfactory
repair
efficiency
(81.2%).
In
addition,
distribution
structure
endows
stable
photothermal
conversion
capability,
which
can
quickly
respond
to
near‐infrared
light
stimulation.
The
interlayer
covalent
bond
crosslinking
enables
good
response
speed
after
multiple
bending
capable
functional
damage.
This
work
introduces
bonding
into
actuators,
provides
reference
for
fabrication
soft
robots,
wearable,
other
healable
materials.
Deleted Journal,
Journal Year:
2024,
Volume and Issue:
2(3)
Published: Aug. 1, 2024
Abstract
The
quest
for
mechanoluminescence
(ML)
in
zinc
sulfide
(ZnS)
spans
more
than
a
century,
initially
sparked
by
observations
of
natural
minerals.
There
has
been
resurgence
research
into
ML
materials
recent
decades,
driven
advances
optoelectronic
technologies
and
deeper
understanding
their
luminescent
properties
under
mechanical
stress.
ZnS,
particular,
garnered
attention
owing
to
its
remarkable
ability
sustain
luminescence
after
100,000
stimulations,
positioning
it
as
standout
candidate
applications.
In
contrast
conventional
photoluminescent
electroluminescent
light
sources,
ZnS
composite
elastomers
have
emerged
flexible,
stretchable
self‐powered
sources
with
considerable
practical
implications.
This
review
introduces
the
development
history,
mechanisms,
prototype
devices,
ZnS‐based
material
preparation
methods,
diverse
applications
spanning
environmental
mechanical‐to‐optical
energy
conversion,
E‐signatures,
anti‐counterfeiting,
wearable
information
sensing
advanced
battery‐free
displays,
biomedical
imaging,
optical
fiber
sensors
human–computer
interactions,
among
others.
By
integrating
insights
from
ML‐optics,
mechanics,
flexible
optoelectronics,
summarizing
pertinent
perspectives
on
current
scientific
challenges,
application
technology
hurdles,
potential
solutions
emerging
frontiers,
this
aims
furnish
fundamental
guidance
conceptual
frameworks
design,
advancement,
cutting‐edge
novel
mechanoluminescent
materials.
Science Advances,
Journal Year:
2024,
Volume and Issue:
10(44)
Published: Oct. 30, 2024
The
growth
of
the
Internet
Things
has
focused
attention
on
visualized
sensors
as
a
key
technology.
However,
it
remains
challenging
to
achieve
high
sensing
accuracy
and
self-power
ability.
Here,
we
propose
self-powered
tactile-acoustic
sensor
(SVTAS)
based
an
elaborated
triboelectrification-induced
electroluminescence
(TIEL)
unit.
To
date,
features
brightness
0.5
mW
cm
−2
(32
cd
m
)
record-low
detection
limit
kPa
in
horizontal-sliding
mode.
Meanwhile,
SVTAS
is
applicable
convert
acoustic
waves
into
TIEL
signals
contact-separation
mode,
showing
highest
response
44.07
Hz
sound,
signal-to-noise
ratio
8.7
dB
−1
,
ultrafast
time
0.8
ms.
Furthermore,
advanced
artificial
perception
systems
are
constructed
with
excellent
performance
recognizing
motion
trajectories
human
speech
different
words/sentences.
This
work
paves
way
for
highly
efficient
sustainable
development
new-generation
systems,
contributing
solution
wireless
communication
free
from
electromagnetic
interference.
Nano-Micro Letters,
Journal Year:
2024,
Volume and Issue:
17(1)
Published: Nov. 15, 2024
Abstract
The
complex
wiring,
bulky
data
collection
devices,
and
difficulty
in
fast
on-site
interpretation
significantly
limit
the
practical
application
of
flexible
strain
sensors
as
wearable
devices.
To
tackle
these
challenges,
this
work
develops
an
artificial
intelligence-assisted,
wireless,
flexible,
mechanoluminescent
sensor
system
(AIFWMLS)
by
integration
deep
learning
neural
network-based
color
processing
(CDPS)
with
a
sandwich-structured
(SFLC)
film.
SFLC
film
shows
remarkable
robust
performance
simple
structure
for
easy
fabrication.
CDPS
can
rapidly
accurately
extract
interpret
to
values
auto-correction
errors
caused
varying
temperature,
which
improves
accuracy
predicted
strain.
A
smart
glove
demonstrates
great
potential
AIFWMLS
human
gesture
recognition.
Moreover,
versatile
also
serve
encryption
device.
intelligence
provides
promising
strategy
break
“color
value”
bottleneck
that
hinders
colorimetric
sensors,
could
promote
development
from
laboratory
research
consumer
markets.
