Advanced Functional Materials,
Journal Year:
2025,
Volume and Issue:
unknown
Published: April 30, 2025
Abstract
The
adaptivity
of
metasurfaces
depicts
an
important
behavior
dynamically
adjusting
their
internal
properties
to
adapt
changing
environments
and
cater
various
demands.
In
spite
the
proliferation
intelligence‐driven
metasurfaces,
they
still
lack
analogical
reasoning
execute
cross‐scenario
tasks
due
random
unpredictable
scattering
events.
Here,
a
compatible
plug‐and‐play
scheme
is
proposed
assist
from
one
another
environment.
Unlike
conventional
step‐by‐step
training,
such
enables
rapid
establishment
reliable
neural
networks
with
physical
interpretability
by
integrating
past
experience
into
package
kernel.
Taking
invisibility
cloak
as
demonstration,
fully
intelligent
system
set
up,
carried
out
three‐stage
adaptability
validation:
point‐to‐point,
path‐to‐path,
scene‐to‐scene,
suggesting
substantial
speed
improvement
compared
direct
learning.
Furthermore,
capitalizing
on
resonant
kernel
successfully
extended
broadband
performance
relative
bandwidth
50%.
work
provides
powerful
easy‐to‐access
recipe
for
advancing
in
new
even
unknown
fosters
shining
bloom
adaptive
meta‐devices.
Advanced Science,
Journal Year:
2024,
Volume and Issue:
11(26)
Published: May 7, 2024
Abstract
Electromagnetic
(EM)
metamaterials
have
garnered
considerable
attention
due
to
their
capacity
achieve
negative
parameters,
significantly
influencing
the
integration
of
natural
materials
with
artificially
structural
media.
The
emergence
carbon
aerogels
(CAs)
offers
an
opportunity
create
lightweight
EM
metamaterials,
notable
for
promising
shielding
or
absorption
effects.
This
paper
introduces
efficient,
low‐cost
method
fabricating
CAs
without
requiring
stringent
drying
conditions.
By
finely
tuning
ZnCl
2
/lignin
ratio,
porosity
is
controlled
in
CAs.
control
leads
epsilon‐negative
response
radio‐frequency
region,
driven
by
intrinsic
plasmonic
state
3D
network,
as
opposed
traditional
periodic
building
blocks.
approach
yields
a
tunable
and
weakly
response,
reaching
order
magnitude
−10
3
under
MHz
frequencies.
Equivalent
circuit
analysis
highlights
inductive
characteristics
CAs,
correlating
significant
dielectric
loss
at
low
Additionally,
simulations
are
performed
evaluate
distribution
electric
field
vector
showcasing
potential
effective
shielding.
lignin‐derived,
hold
promise
pioneering
new
directions
broadening
application
diverse
extreme
ACS Nano,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Jan. 13, 2025
Optical
metasurfaces,
arrays
of
nanostructures
engineered
to
manipulate
light,
have
emerged
as
a
transformative
technology
in
both
research
and
industry
due
their
compact
design
exceptional
light
control
capabilities.
Their
strong
light–matter
interactions
enable
precise
wavefront
modulation,
polarization
control,
significant
near-field
enhancements.
These
unique
properties
recently
driven
application
biomedical
fields.
In
particular,
metasurfaces
led
breakthroughs
imaging
technologies,
such
achromatic
imaging,
phase
extended
depth-of-focus
imaging.
They
also
advanced
cutting-edge
biosensing
featuring
high-quality
factor
resonators
As
the
demand
for
device
miniaturization
system
integration
increases,
are
expected
play
pivotal
role
development
next-generation
devices.
this
review,
we
explore
latest
advancements
use
applications,
with
particular
focus
on
sensing.
Additionally,
discuss
future
directions
aimed
at
transforming
field
by
leveraging
full
potential
provide
compact,
high-performance
solutions
wide
range
applications.
Advanced Materials,
Journal Year:
2024,
Volume and Issue:
36(31)
Published: May 27, 2024
Abstract
A
crucial
aspect
in
shielding
a
variety
of
advanced
electronic
devices
from
electromagnetic
detection
involves
controlling
the
flow
waves,
akin
to
invisibility
cloaks.
Decades
ago,
exploration
transformation
optics
heralded
dawn
modern
cloaks,
which
has
stimulated
immense
interest
across
various
physical
scenarios.
However,
most
prior
research
is
simplified
low‐dimensional
and
stationary
hidden
objects,
limiting
their
practical
applicability
dynamically
changing
world.
This
study
develops
3D
large‐scale
intelligent
cloak
capable
remaining
undetectable
even
non‐stationary
conditions.
By
employing
thousand‐level
reconfigurable
full‐polarization
metasurfaces,
this
work
achieved
an
exceptionally
high
degree
freedom
sculpting
scattering
waves
as
desired.
Serving
core
computational
unit,
hybrid
inverse
design
enables
cloaked
vehicle
respond
real‐time,
with
rapid
reaction
time
just
70
ms.
These
experiments
integrate
perception‐decision‐control‐execution
system
evaluate
its
performance
under
random
static
positions
dynamic
travelling
trajectories,
achieving
background
matching
up
93.3%.
findings
establish
general
paradigm
for
next
generation
meta‐devices
real‐world
settings,
potentially
paving
way
era
“Electromagnetic
Internet
Things.”
ACS Nano,
Journal Year:
2024,
Volume and Issue:
18(34), P. 22734 - 22751
Published: Aug. 15, 2024
Recent
years
have
witnessed
tremendous
advances
in
machine
learning
techniques
for
wearable
sensors
and
bioelectronics,
which
play
an
essential
role
real-time
sensing
data
analysis
to
provide
clinical-grade
information
personalized
healthcare.
To
this
end,
supervised
unsupervised
algorithms
emerged
as
powerful
tools,
allowing
the
detection
of
complex
patterns
relationships
large,
high-dimensional
sets.
In
Review,
we
aim
delineate
latest
advancements
sensors,
focusing
on
key
developments
algorithmic
techniques,
applications,
challenges
intrinsic
evolving
landscape.
Additionally,
highlight
potential
machine-learning
approaches
enhance
accuracy,
reliability,
interpretability
sensor
discuss
opportunities
limitations
emerging
field.
Ultimately,
our
work
aims
a
roadmap
future
research
endeavors
exciting
rapidly
area.
Nano-Micro Letters,
Journal Year:
2024,
Volume and Issue:
17(1)
Published: Oct. 17, 2024
The
incidence
of
large
bone
defects
caused
by
traumatic
injury
is
increasing
worldwide,
and
the
tissue
regeneration
process
requires
a
long
recovery
time
due
to
limited
self-healing
capability.
Endogenous
bioelectrical
phenomena
have
been
well
recognized
as
critical
biophysical
factors
in
remodeling
regeneration.
Inspired
bioelectricity,
electrical
stimulation
has
widely
considered
an
external
intervention
induce
osteogenic
lineage
cells
enhance
synthesis
extracellular
matrix,
thereby
accelerating
With
ongoing
advances
biomaterials
energy-harvesting
techniques,
electroactive
self-powered
systems
biomimetic
approaches
ensure
functional
recapitulating
natural
electrophysiological
microenvironment
healthy
tissue.
In
this
review,
we
first
introduce
role
bioelectricity
endogenous
electric
field
summarize
different
techniques
electrically
stimulate
Next,
highlight
latest
progress
exploring
hybrid
such
triboelectric
piezoelectric-based
nanogenerators
photovoltaic
cell-based
devices
their
implementation
engineering.
Finally,
emphasize
significance
simulating
target
tissue's
propose
opportunities
challenges
faced
bioelectronics
for
repair
strategies.
Photonics,
Journal Year:
2025,
Volume and Issue:
12(1), P. 43 - 43
Published: Jan. 6, 2025
The
Sweatt
model
has
been
extensively
used
to
design
optical
systems
containing
diffractive
elements
(DOEs)
because
it
captures
the
dispersive
characteristics
of
DOEs.
We
introduce
a
new
(DSM)
that
can
describe
meta-atom
(MA)
dispersion,
which
material
and
geometric
contributions
in
addition
diffraction.
It
uses
wavelength-dependent
scalar
coefficient
modify
dispersion
given
MA
basis.
This
provides
robust
framework
metasurface
(MS)
while
including
their
unique
properties
optimization.
Importantly,
DSM
is
based
on
ray
optics
enables
MS-containing
using
conventional
software
such
as
Zemax
Code
V.
use
demonstrate
hybrid
refractive/MS
achromatic
doublet
for
midwave
infrared
(MWIR)
band.
example
includes
multiple
wavelengths
field
angles
during
optimization
demonstrates
excellent
agreement
between
real
lens
performance
modeled
wave
optics.
discuss
limits
present
simple
predict
due
phase
mismatch
at
Fresnel
zone
boundaries.
