Journal of the American Chemical Society,
Journal Year:
2022,
Volume and Issue:
144(30), P. 13823 - 13830
Published: July 21, 2022
A
significant
bottleneck
in
the
discovery
of
new
mixed
halide
perovskite
(MHP)
compositions
and
structures
is
time-consuming
low-throughput
nature
current
synthesis
screening
methods.
Here,
a
high-throughput
strategy
presented
that
can
be
used
to
synthesize
combinatorial
libraries
MHPs
with
deliberate
control
over
mixing
ratio
particle
size
(for
example,
CsPb(Br1–xClx)3
(0
<
x
1)
sizes
between
∼100
400
nm).
This
combines
evaporation–crystallization
polymer
pen
lithography
(EC-PPL)
defect-engineered
anion
exchange
spatially
encode
composition,
respectively.
Laser
exposure
selectively
modify
defect
concentration
individual
particles,
thus
degree
subsequent
exchange,
allowing
preparation
for
ultra-high-density
arrays
distinct
(>1
unique
particle/μm2).
method
was
utilized
rapidly
generate
library
∼4000
particles
then
screened
high-efficiency
blue
photoemission,
which
yielded
CsPb(Br0.6Cl0.4)3
as
composition
highest
photoluminescence
intensity.
The
provided
here,
mechanistic
understanding
defect-engineering
process
gleaned
from
it,
will
enable
rapid
exceptional
MHP
optoelectronic
materials.
Advanced Materials,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Feb. 13, 2025
Abstract
Halide
perovskites
(HPs),
emerging
as
a
noteworthy
class
of
semiconductors,
hold
great
promise
for
an
array
optoelectronic
applications,
including
anti‐counterfeiting,
light‐emitting
diodes
(LEDs),
solar
cells
(SCs),
and
photodetectors,
primarily
due
to
their
large
absorption
cross
section,
high
fluorescence
efficiency,
tunable
emission
spectrum
within
the
visible
region,
tolerance
lattice
defects,
well
adaptability
solution‐based
fabrication
processes.
Unlike
luminescent
HPs
with
band‐edge
emission,
trivalent
rare‐earth
(RE)
ions
typically
emit
low‐energy
light
through
intra‐4f
optical
transitions,
characterized
by
narrow
spectra
long
lifetimes.
When
fused,
cooperative
interactions
between
REs
endow
resulting
binary
composites
not
only
properties
inherited
from
parent
materials
but
also
introduce
new
attributes
unattainable
either
component
alone.
This
review
begins
fundamental
characteristics
REs,
followed
particular
focus
on
impact
electronic
structures
associated
energy
transfer
The
advanced
synthesis
methods
utilized
prepare
HPs,
RE‐doped
compounds,
are
overviewed.
Furthermore,
potential
applications
summarized
across
diverse
domains,
high‐fidelity
anticounterfeiting,
bioimaging,
LEDs,
photovoltaics,
photodetection,
photocatalysis,
conclude
remaining
challenges
future
research
prospects.
Chemical Science,
Journal Year:
2021,
Volume and Issue:
12(17), P. 6025 - 6036
Published: Jan. 1, 2021
Autonomous
robotic
experimentation
strategies
are
rapidly
rising
in
use
because,
without
the
need
for
user
intervention,
they
can
efficiently
and
precisely
converge
onto
optimal
intrinsic
extrinsic
synthesis
conditions
a
wide
range
of
emerging
materials.
However,
as
material
syntheses
become
more
complex,
meta-decisions
artificial
intelligence
(AI)-guided
decision-making
algorithms
used
autonomous
platforms
important.
In
this
work,
surrogate
model
is
developed
using
data
from
over
1000
in-house
conducted
metal
halide
perovskite
quantum
dots
self-driven
modular
microfluidic
synthesizer.
The
designed
to
represent
global
failure
rate,
unfeasible
regions
space,
ground
truth,
sampling
noise
real
system
with
multiple
output
parameters
(peak
emission,
emission
linewidth,
yield).
With
model,
150
AI-guided
within
single-period
horizon
reinforcement
learning
framework
automatically
explored
across
than
600
000
simulated
experiments
-
equivalent
7.5
years
continuous
operation
400
L
reagents
identify
most
effective
methods
accelerated
materials
development
objectives.
Specifically,
structure
an
ensemble
neural
network-based
strategy
investigated,
which
offers
favorable
technique
intelligently
navigating
complex
space
targets.
algorithm
enables
efficient
formulation
optimization
no
prior
information
environment
well-established
algorithms.
Advanced Intelligent Systems,
Journal Year:
2022,
Volume and Issue:
5(4)
Published: Dec. 23, 2022
The
urgency
of
finding
solutions
to
global
energy,
sustainability,
and
healthcare
challenges
has
motivated
rethinking
the
conventional
chemistry
material
science
workflows.
Self‐driving
labs,
emerged
through
integration
disruptive
physical
digital
technologies,
including
robotics,
additive
manufacturing,
reaction
miniaturization,
artificial
intelligence,
have
potential
accelerate
pace
materials
molecular
discovery
by
10–100X.
Using
autonomous
robotic
experimentation
workflows,
self‐driving
labs
enable
access
a
larger
part
chemical
universe
reduce
time‐to‐solution
an
iterative
hypothesis
formulation,
intelligent
experiment
selection,
automated
testing.
By
providing
data‐centric
abstraction
accelerated
cycle,
in
this
perspective
article,
required
hardware
software
technological
infrastructure
unlock
true
is
discussed.
In
particular,
process
intensification
as
accelerator
mechanism
for
modules
digitalization
strategies
further
cycle
sciences
are
Advanced Energy Materials,
Journal Year:
2023,
Volume and Issue:
14(1)
Published: Nov. 12, 2023
Abstract
Metal
cation‐doped
lead
halide
perovskite
(LHP)
quantum
dots
(QDs)
with
photoluminescence
yields
(PLQYs)
higher
than
unity,
due
to
cutting
phenomena,
are
an
important
building
block
of
the
next‐generation
renewable
energy
technologies.
However,
synthetic
route
exploration
and
development
highest‐performing
QDs
for
device
applications
remain
challenging.
In
this
work,
Smart
Dope
is
presented,
which
a
self‐driving
fluidic
lab
(SDFL),
accelerated
synthesis
space
autonomous
optimization
LHP
QDs.
Specifically,
multi‐cation
doping
CsPbCl
3
using
one‐pot
high‐temperature
chemistry
reported.
continuously
synthesizes
multi‐cation‐doped
high‐pressure
gas‐liquid
segmented
flow
format
enable
continuous
experimentation
minimal
experimental
noise
at
reaction
temperatures
up
255°C.
offers
multiple
functionalities,
including
mechanistic
studies
through
digital
twin
QD
modeling,
closed‐loop
discovery,
on‐demand
manufacturing
high‐performing
Through
these
developments,
autonomously
identifies
optimal
Mn‐Yb
co‐doped
PLQY
158%,
highest
reported
value
class
date.
illustrates
power
SDFLs
in
accelerating
discovery
emerging
advanced
materials.
Particle & Particle Systems Characterization,
Journal Year:
2020,
Volume and Issue:
37(12)
Published: Nov. 18, 2020
Abstract
Controlled
synthesis
of
semiconductor
nano/microparticles
has
attracted
substantial
attention
for
use
in
numerous
applications
from
photovoltaics
to
photocatalysis
and
bioimaging
due
the
breadth
available
physicochemical
optoelectronic
properties.
Microfluidic
material
strategies
have
recently
been
demonstrated
as
an
effective
technique
rapid
development,
controlled
synthesis,
continuous
manufacturing
solution‐processed
nano/microparticles,
enhanced
parametric
control
enabling
precise
tuning
properties,
size,
morphologies.
In
this
review,
basics
microfluidic
approaches
complemented
with
recent
advances
flow
fabrication
metal
oxide,
chalcogenide,
perovskite
particles
are
discussed.
Furthermore,
advancements
artificial
intelligence
(AI)‐driven
materials–space
exploration
accelerated
formulation
optimization
using
modular
reactors
outlined.
Finally,
future
directions
semiconducting
materials
implementation
AI
automated
discovery
development
presented.
Nanoscale,
Journal Year:
2023,
Volume and Issue:
15(8), P. 3991 - 3999
Published: Jan. 1, 2023
Magnetic
resonance
imaging
(MRI)/nuclear
medicine
(NMI)
dual-modality
based
on
radiolabeled
nanoparticles
has
been
increasingly
exploited
for
accurate
diagnosis
of
tumor
and
cardiovascular
diseases
by
virtue
high
spatial
resolution
sensitivity.
However,
significant
challenges
exist
in
pursuing
truly
clinical
applications,
including
massive
preparation
rapid
radiolabeling
nanoparticles.
Herein,
we
report
a
clinically
translatable
kit
the
convenient
construction
MRI/NMI
nanoprobes
relying
flow-synthesis
anchoring
group-mediated
(LAGMERAL)
iron
oxide
First,
homogeneous
with
excellent
performance
were
successfully
obtained
large
scale
flow
synthesis,
followed
surface
diphosphonate-polyethylene
glycol
(DP-PEG)
to
simultaneously
render
underlying
biocompatible
competent
robust
labeling
radioactive
metal
ions.
Moreover,
enable
safe
usage
clinics,
DP-PEG
modified
nanoparticle
solution
was
freeze-dried
sterilized
make
careful
evaluations
its
vitro
vivo
applicability.
The
results
showed
that
99mTc
labeled
are
effectively
yield
over
95%
30
minutes
after
simply
injecting
Na[99mTcO4]
into
kit.
In
addition,
Fe3O4
sealed
can
well
stand
long-term
storage
even
300
days
without
deteriorating
colloidal
stability
yield.
Upon
intravenous
injection
as-prepared
nanoprobes,
high-resolution
vascular
images
mice
SPECT
magnetic
angiography,
demonstrating
promising
translational
value
our
