Applied Physics Letters,
Journal Year:
2024,
Volume and Issue:
124(8)
Published: Feb. 19, 2024
Rainbow
trapping
is
a
significant
strategy
for
capturing
waves
of
different
frequencies
at
spatial
positions.
It
offers
potential
multi-frequency
on-chip
nanophotonic
devices
in
the
era
big
data
and
has
attracted
much
interest
recently,
topological
rainbow
that
immune
to
disorder
been
observed
optics
acoustics.
Reported
here
elastic
using
gradient
valley
phononic
crystal
plates
(PCPs)
with
hexagonal
lattice,
based
on
edge
states
are
localized
boundary
between
two
PCPs
opposite
phases.
The
achieved
by
gradually
adjusting
height
scatterers
or
thickness
PCPs.
shown
applying
vertical
vibration
studied
PCPs,
which
simple
structure
easily
fabricated,
providing
good
solution
manipulating
waves.
Advanced Functional Materials,
Journal Year:
2023,
Volume and Issue:
33(19)
Published: March 14, 2023
Abstract
Van
der
Waals
(vdWs)
heterostructures
enable
bandgap
engineering
of
different
2D
materials
to
realize
the
interlayer
transition
via
type‐II
band
alignment
leading
broaden
spectrum
that
is
beyond
cut‐off
wavelength
individual
materials.
Interlayer
has
a
significant
effect
on
optoelectronic
performance
vdWs
heterostructure
devices,
and
strong
in
heterojunction
always
demandable
for
sufficient
charge
transfer
rapid
speed
response.
Herein,
state‐of‐the‐art
review
presented
recent
progress
near‐infrared
(NIR)
photodetectors.
First,
general
synthesis
techniques
heterostructures,
alignments
are
provided.
Then,
mechanism
NIR
photodetectors
summarized.
Afterward,
some
worthy
applications
reviewed
related
areas
this
topic.
At
last,
an
outlook,
challenges,
future
research
directions
at
response
presented.
Advanced Science,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Jan. 20, 2025
Abstract
Lattice
metamaterials
emerge
as
advanced
architected
materials
with
superior
physical
properties
and
significant
potential
for
lightweight
applications.
Recent
developments
in
additive
manufacturing
(AM)
techniques
facilitate
the
of
lattice
intricate
microarchitectures
promote
their
applications
multi‐physical
scenarios.
Previous
reviews
on
have
largely
focused
a
specific/single
field,
limited
discussion
properties,
interaction
mechanisms,
multifunctional
Accordingly,
this
article
critically
design
principles,
structure‐mechanism‐property
relationships,
enabled
by
AM
techniques.
First,
are
categorized
into
homogeneous
lattices,
inhomogeneous
other
forms,
whose
principles
processes
discussed,
including
benefits
drawbacks
different
fabricating
types
lattices.
Subsequently,
structure–mechanism–property
relationships
mechanisms
range
fields,
mechanical,
acoustic,
electromagnetic/optical,
thermal
disciplines,
summarized
to
reveal
critical
principles.
Moreover,
metamaterials,
such
sound
absorbers,
insulators,
manipulators,
sensors,
actuators,
soft
robots,
management,
invisible
cloaks,
biomedical
implants,
enumerated.
These
provide
effective
guidelines
Smart Materials and Structures,
Journal Year:
2023,
Volume and Issue:
32(12), P. 123001 - 123001
Published: Oct. 16, 2023
Abstract
Guided
waves,
elastic
waves
propagating
through
bounded
structures,
play
a
pivotal
role
in
various
applications,
including
ultrasonic
non-destructive
testing
and
structural
health
monitoring.
Recently,
metamaterials
artificially
engineered
to
exhibit
physical
properties
not
typically
seen
nature
have
emerged
as
ground-breaking
approach,
heralding
new
era
guided
wave-based
technologies.
These
offer
innovative
solutions
overcome
the
inherent
constraints
of
traditional
technology.
This
paper
comprehensively
reviews
from
their
fundamental
principles
diverse
focusing
on
transformative
impact
wave
manipulation.
Materials,
Journal Year:
2023,
Volume and Issue:
16(5), P. 1879 - 1879
Published: Feb. 24, 2023
In
engineering
acoustics,
the
propagation
of
elastic
flexural
waves
in
plate
and
shell
structures
is
a
common
transmission
path
vibrations
structure-borne
noises.
Phononic
metamaterials
with
frequency
band
gap
can
effectively
block
certain
ranges,
but
often
require
tedious
trial-and-error
design
process.
recent
years,
deep
neural
networks
(DNNs)
have
shown
competence
solving
various
inverse
problems.
This
study
proposes
deep-learning-based
workflow
for
phononic
metamaterial
design.
The
Mindlin
formulation
was
used
to
expedite
forward
calculations,
network
trained
We
showed
that,
only
360
sets
data
training
testing,
attained
2%
error
achieving
target
gap,
by
optimizing
five
parameters.
designed
−1
dB/mm
omnidirectional
attenuation
around
3
kHz.
