Chemistry - An Asian Journal,
Journal Year:
2024,
Volume and Issue:
19(6)
Published: Feb. 7, 2024
Abstract
Optoelectronic
devices,
such
as
light‐emitting
diodes,
have
been
demonstrated
one
of
the
most
demanded
forthcoming
display
and
lighting
technologies
because
their
low
cost,
power
consumption,
high
brightness,
contrast.
The
improvement
device
performance
relies
on
advances
in
precisely
designing
novelty
functional
materials,
including
hosts,
hole/electron
transport
yet
which
is
a
time‐consuming,
laborious
resource‐intensive
task.
Recently,
machine
learning
(ML)
has
shown
great
prospects
to
accelerate
material
discovery
property
enhancement.
This
review
will
summarize
workflow
ML
optoelectronic
materials
discovery,
data
collection,
feature
engineering,
model
selection,
evaluation
application.
We
highlight
multiple
recent
applications
machine‐learned
potentials
various
ranging
from
semiconductor
quantum
dots
(QDs)
or
perovskite
QDs,
organic
molecules
carbon‐based
nanomaterials.
furthermore
discuss
current
challenges
fully
realize
potential
ML‐assisted
design
for
optoelectronics
applications.
It
anticipated
that
this
provide
critical
insights
inspire
new
exciting
discoveries
ML‐guided
high‐performance
devices
with
combined
effort
different
disciplines.
Advanced Functional Materials,
Journal Year:
2024,
Volume and Issue:
34(36)
Published: March 5, 2024
Abstract
The
“Nobel
Prize
in
Chemistry
2023”
is
awarded
to
Moungi
G.
Bawendi,
Louis
E.
Brus,
and
Alexey
I.
Yekimov
for
discovering
synthesizing
Quantum
Dots
(QDs).
Colloidal
QDs
possess
fascinating
size‐,
morphological‐,
composition‐,
assembly‐tunable
electronic
optical
properties,
which
makes
them
star
materials
various
optoelectronic
applications,
especially
as
luminescent
next‐generation
wide
color
gamut
ultra‐high‐definition
displays.
Perovskite
(PQDs)
have
gained
widespread
attention
recent
years.
In
less
than
ten
years,
research
on
perovskite‐related
devices
has
basically
been
perfected
terms
of
quantum
yield
external
efficiency
(EQE).
However,
the
eve
its
industrial
application,
some
key
technical
indicators
processes
need
be
met
resolved.
development
transformation
QD
then
focuses
progress
luminescence
linewidth
EQE
PQD
light‐emitting
diode.
Finally,
several
application
avenues
are
reviewed
PQDs,
challenges
opportunities
field
proposed.
ACS Nano,
Journal Year:
2024,
Volume and Issue:
18(23), P. 14791 - 14840
Published: May 30, 2024
We
explore
the
potential
of
nanocrystals
(a
term
used
equivalently
to
nanoparticles)
as
building
blocks
for
nanomaterials,
and
current
advances
open
challenges
fundamental
science
developments
applications.
Nanocrystal
assemblies
are
inherently
multiscale,
generation
revolutionary
material
properties
requires
a
precise
understanding
relationship
between
structure
function,
former
being
determined
by
classical
effects
latter
often
quantum
effects.
With
an
emphasis
on
theory
computation,
we
discuss
that
hamper
assembly
strategies
what
extent
nanocrystal
represent
thermodynamic
equilibrium
or
kinetically
trapped
metastable
states.
also
examine
dynamic
optimization
protocols.
Finally,
promising
functions
examples
their
realization
with
assemblies.
Deleted Journal,
Journal Year:
2023,
Volume and Issue:
1(2)
Published: Oct. 19, 2023
Abstract
The
increasing
demand
for
the
multidimensional
and
dynamic
control
of
light
has
spurred
development
stimuli‐responsive,
reconfigurable,
programmable
optical
systems.
Liquid
crystals
(LCs),
which
combine
liquid‐like
stimuli‐responsiveness
crystal‐like
orientational
ordering,
have
emerged
as
highly
appealing
soft
materials.
Owing
to
their
exceptional
performance
functionalities,
they
are
becoming
incredibly
important
materials
in
active
planar
optics
photonics.
Additionally,
silk
proteins,
luminescent
materials,
metasurfaces
exhibit
properties,
enabling
remarkable
multifunctional
applications.
This
review
focuses
on
advancements
stimuli‐responsive
including
LCs,
well
some
these
paired
with
LCs.
Their
attractive
tunable
applications
photonics,
along
great
potential
future
systems,
also
emphasized.
Advanced Functional Materials,
Journal Year:
2024,
Volume and Issue:
34(26)
Published: Feb. 26, 2024
Abstract
The
hue‐recognition
based
point‐of‐care
diagnosis
favorites
both
human
visual
perception
and
imaging
analysis
with
portable
terminals.
Semiconductor
nanoplatelets
(NPLs)
as
an
emerging
narrow‐emissive
fluorophore
particularly
suit
above
color‐purity
desired
diagnosis,
but
are
hindered
by
their
intrinsic
hydrophobicity
difficulty
in
controlled
assembly.
Here
the
host‐guest
assembling
of
hydrophobic
NPLs
developed
within
3D
porous
space
dendritic
templates,
stepwise
surface
silanization
to
fabricate
silica‐NPLs‐silica
structure
(SNS).
enables
high
fluorescence
single
assembly
reaching
246‐fold
4‐fold
brightness
NPL
commercial
europium‐doped
polystyrene
bead.
strategy
is
compatible
various
colored
(≈540–640
nm
emission)
provides
stable
aqueous
colloids
well‐preserved
emission.
narrow
emission
SNS
enable
signal
amplification
visual/image
color
discrimination.
hue‐recognizable
lateral
flow
immunoassay
for
Severe
Acute
Respiratory
Syndrome
Coronavirus
2
(SARS‐CoV‐2)
nucleocapsid
protein
reveals
average
naked‐eye
interpretation
accuracy
92.9%
over
six
concentration
levels
referring
standard
card,
accompanied
a
quantification
linear
range
0.13–200
ng
mL
−1
limit
detection
0.13
smartphone.
diagnostic
results
SARS‐CoV‐2
positive
clinical
samples
demonstrate
easily
distinguishable
antigen
on
hue‐gradients,
which
holds
significance
home‐based
self‐testing
pathogens.
Chemistry of Materials,
Journal Year:
2024,
Volume and Issue:
36(3), P. 1513 - 1525
Published: Jan. 31, 2024
Machine
learning
(ML)
has
demonstrated
potential
toward
accelerating
synthesis
planning
for
various
material
systems.
However,
ML
remained
out
of
reach
many
materials
scientists
due
to
the
lack
systematic
approaches
or
heuristics
developing
workflows
synthesis.
In
this
work,
we
report
an
approach
selecting
algorithms
train
models
predicting
nanomaterial
outcomes.
Specifically,
developed
and
used
automated
batch
microreactor
platform
collect
a
large
experimental
data
set
hot-injection
outcomes
CdSe
quantum
dots.
Thereafter,
was
using
algorithms.
The
relative
performances
these
were
compared
sets
different
sizes
with
amounts
noise
added.
Neural-network-based
show
most
accurate
predictions
absorption
emission
peak,
while
cascade
full
width
at
half-maximum
shown
be
superior
direct
approach.
SHapley
Additive
exPlanations
(SHAP)
determine
importance
parameters.
Our
analyses
indicate
that
SHAP
scores
are
highly
dependent
on
feature
selection
highlight
inherently
interpretable
gaining
insights
from
Journal of the American Chemical Society,
Journal Year:
2024,
Volume and Issue:
146(6), P. 3732 - 3741
Published: Feb. 1, 2024
Semiconductor
nanocrystals
(NCs)
offer
prospective
use
as
active
optical
elements
in
photovoltaics,
light-emitting
diodes,
lasers,
and
photocatalysts
due
to
their
tunable
absorption
emission
properties,
high
stability,
scalable
solution
processing,
well
compatibility
with
additive
manufacturing
routes.
Over
the
course
of
experiments,
during
device
fabrication,
or
while
commercially,
these
materials
are
often
subjected
intense
prolonged
electronic
excitation
carrier
densities.
The
influence
such
conditions
on
ligand
integrity
binding
remains
underexplored.
Here,
we
expose
CdSe
NCs
laser
monitor
changes
oleate
that
is
covalently
attached
NC
surface
using
nuclear
magnetic
resonance
a
function
time
intensity.
Higher
photon
doses
cause
increased
rates
loss
from
particles,
upward
50%
total
desorption
measured
for
longest,
most
excitation.
Surprisingly,
range
intensities,
fragmentation
detected
occurs
concomitantly
formation
aldehydes,
terminal
alkenes,
H2,
water.
After
illumination,
size,
shape,
bandgap
remain
constant
although
low-energy
features
(Urbach
tails)
develop
some
samples,
indicating
substantial
trap
states.
observed
reaction
chemistry,
which
here
low
chemical
conversion
efficiency,
suggests
reactivity
may
require
examination
improved
dispersion
stability
but
can
also
be
manipulated
yield
desired
photocatalytically
accessed
species.
ACS Nano,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Feb. 2, 2025
Midinfrared
electroluminescence
from
the
electron
intraband
transition
is
demonstrated
with
intrinsic
CdSe
colloidal
quantum
dots.
The
device
consists
of
a
thin
film
dots
and
layer
ZnO
nanocrystals,
sandwiched
between
two
electrodes
that
enhance
light
outcoupling
at
5
μm.
At
100
mA
15
V,
electron-to-photon
efficiency
0.40%,
power
conversion
0.013%.
devices
show
good
air
thermal
stability.
Electron
transport
layers
surface
traps
are
discussed.
The Journal of Physical Chemistry C,
Journal Year:
2024,
Volume and Issue:
128(11), P. 4373 - 4382
Published: Feb. 12, 2024
Photophysical
attributes
of
semiconductor
quantum
dots
(QDs)
are
influenced
by
the
presence
undercoordinated
ions
on
their
surface,
which
generate
new
bands
called
trap
states.
These
located
within
bandgap
in
II–VI
and
III–V
systems;
hence,
photoluminescence
electron
transfer
properties
also
guided
depth
density.
Our
efforts
to
understand
these
aspects
summarized
here
taking
CdSe
InP
QDs
as
examples.
The
increase
efficiency
with
an
core
size
is
attributed
decrease
depth,
allowing
efficient
detrapping
electrons.
Stacking
faults,
another
type
defect,
responsible
for
enhanced
blinking
during
asymmetric
shell
growth
CdS
QDs.
Investigation
photoinduced
dynamics
further
establishes
deep
states
QDs,
compared
shallow
effective
charge
stabilization
former.