Nano Letters,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Sept. 20, 2024
Piezo-optomechanics
presents
a
promising
route
to
convert
microwave
signals
the
optical
domain,
implementing
processing
tasks
that
are
challenging
using
conventional
electronics.
The
surge
of
integrated
photonics
facilitates
exploitation
localized
light-sound
interactions
toward
new
technological
paradigms.
However,
efficient
acousto-optic
interaction
has
yet
be
fully
exploited
in
silicon
due
absence
piezoelectricity,
despite
its
maturity
photonic
circuits.
Here,
we
introduce
distinctive
scheme
supplement
devices
through
heterogeneous
integration
with
lithium
niobate
(LN).
Utilizing
LN
as
an
acoustic
pump
harness
inherently
exceptional
photoelasticity
silicon,
demonstrate
microwave-to-acoustic
transduction,
ultimately
achieving
modulation
figure-of-merit
Nature Communications,
Journal Year:
2024,
Volume and Issue:
15(1)
Published: July 31, 2024
Recent
advances
in
virtual
reality
technologies
accelerate
the
immersive
interaction
between
human
and
augmented
3D
worlds.
Here,
authors
discuss
olfactory
feedback
that
facilitate
with
real
objects
evolution
of
wearable
devices
for
VR/AR
applications.
Small Science,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Jan. 15, 2025
Volatile
organic
compounds
(VOCs)
are
a
class
of
with
high
vapor
pressure
and
low
boiling
points,
widely
present
in
both
natural
environments
human
activities.
VOCs
released
from
various
sources
not
only
contribute
to
environmental
pollution
but
also
pose
threats
ecosystems
health.
Moreover,
some
considered
biomarkers
exhaled
breath
can
be
utilized
identify
diseases.
Therefore,
monitoring
controlling
VOC
emissions
concentrations
crucial
for
safeguarding
the
environment
In
recent
years,
significant
advancements
have
been
achieved
micro‐electromechanical
system
(MEMS)‐based
sensing
optical
technologies,
offering
new
avenues
detection.
This
article
provides
comprehensive
overview
research
progress
MEMS
sensors,
focusing
on
their
mechanisms
classifications.
It
then
discusses
role
artificial
intelligence
enhancing
identification
quantification,
as
well
trends
toward
sensor
miniaturization
intelligence.
Furthermore,
highlights
diverse
applications
sensors
medical
diagnostics,
agricultural
food
testing,
Internet
Things.
Finally,
it
emphasizes
opportunities
challenges
associated
providing
valuable
insights
practical
applications.
Abstract
Bio/chemical
mixture
sensing
in
a
water
environment
is
of
great
importance
applications.
Relying
on
plentiful
molecular
fingerprints
mid‐infrared
(MIR)
and
high
integration
potential,
nanophotonic
waveguide‐based
MIR
lab‐on‐a‐chip
(LoC)
provides
miniaturized
versatile
solution
for
specific
label‐free
bio/chemical
detection.
However,
it
still
challenging
to
implement
an
LoC
with
on‐chip
photodetection
chemical
water,
due
the
strong
absorption
limited
photodetector
scheme,
let
alone
spectral
overlap
issue
analysis.
Here,
integrating
zero‐bias
graphene
reported
real‐time
monitoring
three
analytes
leveraging
demonstrated.
Besides,
using
machine
learning,
collected
spectra
ternary
27
mixing
ratios
are
successfully
classified
accuracy
95.77%.
Moreover,
concentration
prediction
individual
performed
by
developing
convolution
regression
network
spectrum
decomposition:
83.33%
single‐component
predictions
within
1
vol%
error
range,
average
root‐mean‐squared
achieved.
The
offers
new
opportunities
highly
integrated
intelligent
systems
various
scenarios
Internet
Things
era.
ACS Sensors,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Feb. 13, 2025
Detection
of
parts-per-trillion
(ppt)-level
acetone
gas
molecules
at
room
temperature
using
suspended
graphene
on
SiO2
micropillars
has
rarely
been
achieved
solid-state
devices
or
surface
acoustic
wave
(SAW)
sensors.
This
paper
presents
the
effect
and
as
a
guiding
sensing
layer
to
detect
gas.
The
integration
with
introduces
coupled
resonance
arising
from
interaction
between
mechanical
vibrations
micropillars.
leads
formation
hybrid
modes
when
natural
frequencies
align.
coupling
mechanism
amplifies
displacement
energy
Love
propagating
along
sensor,
enhancing
its
overall
performance.
Additionally,
waves
generates
characteristic
dips
in
transmission
spectra.
These
correspond
excitation
specific
flexural
torsional
within
structure.
A
custom-fabricated
SAW
device,
featuring
diameter
4
μm
heights
1.0
1.2
μm,
demonstrated
exceptionally
high
sensitivity
toward
concentration
500
ppt.
Moreover,
exhibited
rapid
response
recovery
times
across
wide
range
concentrations.
ABSTRACT
Artificial
Intelligence
(AI)
has
shown
the
power
to
enhance
functionality
of
sensors
and
enable
intelligent
human‐machine
interfaces
through
machine
learning‐based
data
analysis.
However,
good
performance
AI
is
always
accompanied
by
a
large
amount
high
computational
complexity.
Though
cloud
computing
appears
be
right
solution
this
issue
with
advent
5G
era,
certain
intelligence
edge
terminal
also
important
make
entire
integrated
system
more
efficient.
The
current
development
microelectronic,
wearable,
AI,
neuromorphic
technologies
pave
way
realize
advanced
integrating
silicon‐based
high‐computing‐power
chips
anthropomorphic
wearable
sensory
devices
show
potential
achieve
human‐like
self‐sustainable
decentralized
next‐generation
AI.
Hence,
in
review,
we
systematically
introduce
related
progress
terms
electronics
that
can
mimic
biological
features
humans'
systems
neuromorphic/in‐sensor
technologies.
Discussion
on
implementing
perception
sensation
silicone‐based
non‐silicone‐based
functional
units
our
perspectives
are
provided.
ACS Nano,
Journal Year:
2024,
Volume and Issue:
18(34), P. 22938 - 22948
Published: Aug. 12, 2024
Neuromorphic
in-sensor
computing
has
provided
an
energy-efficient
solution
to
smart
sensor
design
and
on-chip
data
processing.
In
recent
years,
various
free-space-configured
optoelectronic
chips
have
been
demonstrated
for
neuromorphic
vision
However,
waveguide-based
with
different
modalities
is
still
lacking.
Here,
by
integrating
a
responsivity-tunable
graphene
photodetector
onto
the
silicon
waveguide,
processing
unit
realized
in
mid-infrared
wavelength
range.
The
weighting
operation
achieved
dynamically
tuning
bias
of
photodetector,
which
could
reach
4
bit
precision.
Three
neural
network
tasks
are
performed
demonstrate
capabilities
our
device.
First,
image
preprocessing
handwritten
digits
fashion
product
classification
as
general
task.
Next,
resistive-type
glove
signals
reversed
applied
input
gesture
recognition.
Finally,
spectroscopic
binary
gas
mixture
utilizing
broadband
performance
device
from
3.65
3.8
μm.
By
extending
near-infrared
mid-infrared,
work
shows
capability
waveguide-integrated
tunable
viable
photonic
computing.
Furthermore,
such
be
used
large-scale
integrated
circuits
at
edge.
Nano-Micro Letters,
Journal Year:
2024,
Volume and Issue:
17(1)
Published: Sept. 26, 2024
Abstract
Plasmonic
nanoantennas
provide
unique
opportunities
for
precise
control
of
light–matter
coupling
in
surface-enhanced
infrared
absorption
(SEIRA)
spectroscopy,
but
most
the
resonant
systems
realized
so
far
suffer
from
obstacles
low
sensitivity,
narrow
bandwidth,
and
asymmetric
Fano
resonance
perturbations.
Here,
we
demonstrated
an
overcoupled
resonator
with
a
high
plasmon-molecule
coefficient
(μ)
(OC-Hμ
resonator)
by
precisely
controlling
radiation
loss
channel,
resonator-oscillator
frequency
detuning
channel.
We
observed
strong
dependence
sensing
performance
on
state,
that
OC-Hμ
has
excellent
properties
ultra-sensitive
(7.25%
nm
−1
),
ultra-broadband
(3–10
μm),
immune
lineshapes.
These
characteristics
represent
breakthrough
SEIRA
technology
lay
foundation
specific
recognition
biomolecules,
trace
detection,
protein
secondary
structure
analysis
using
single
array
(array
size
is
100
×
µm
2
).
In
addition,
assistance
machine
learning,
mixture
classification,
concentration
prediction
spectral
reconstruction
were
achieved
highest
accuracy
100%.
Finally,
potential
SARS-CoV-2
detection.
findings
will
promote
wider
application
technology,
while
providing
new
ideas
other
enhanced
spectroscopy
technologies,
quantum
photonics
studying
interactions.
Advanced Science,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Oct. 28, 2024
Abstract
Photonic
integrated
circuits
offer
miniaturized
solutions
for
multimodal
spectroscopic
sensory
systems
by
leveraging
the
simultaneous
interaction
of
light
with
temperature,
chemicals,
and
biomolecules,
among
others.
The
data
is
complex
has
huge
volume
high
redundancy,
thus
requiring
communication
bandwidth
associated
power
consumption
to
transfer
data.
To
circumvent
this
cost,
photonic
sensor
processor
are
brought
into
intimacy
propose
a
in‐sensor
computing
system
using
an
silicon
convolutional
processor.
A
microring
resonator
crossbar
array
used
as
implement
operation
5‐bit
accuracy,
validated
through
image
edge
detection
tasks.
Further
integrating
sensor,
in
situ
processing
demonstrated,
achieving
classification
protein
species
different
types
concentrations
at
various
temperatures.
accuracy
97.58%
across
45
classes
achieved.
demonstrates
feasibility
processors
sensors
enhance
capability
devices
edge.
