The Journal of Physical Chemistry Letters,
Journal Year:
2023,
Volume and Issue:
14(50), P. 11281 - 11285
Published: Dec. 7, 2023
The
idea
that
the
electronic
transition
dipole
moment
does
not
depend
upon
nuclear
excursions
is
Condon
approximation
and
central
to
most
spectroscopy,
especially
in
solid
state.
We
show
a
strong
breakdown
of
time-resolved
photoluminescence
from
CsPbBr3
metal
halide
perovskite
semiconductor
nanocrystals.
Experiments
reveal
increases
on
30
ps
time
scale
due
structural
dynamics
lattice.
Ab
initio
molecular
calculations
quantitatively
reproduce
experiments
by
considering
excitation-induced
dynamics.
Advanced Science,
Journal Year:
2024,
Volume and Issue:
11(20)
Published: March 19, 2024
Abstract
Lead
halide
perovskites
with
superior
optoelectrical
properties
are
emerging
as
a
class
of
excellent
materials
for
applications
in
solar
cells
and
light‐emitting
devices.
However,
perovskite
films
often
exhibit
abundant
intrinsic
defects,
which
can
limit
the
efficiency
perovskite‐based
optoelectronic
devices
by
acting
carrier
recombination
centers.
Thus,
an
understanding
defect
chemistry
lead
assumes
prominent
role
further
advancing
exploitation
perovskites,
which,
to
large
extent,
is
performed
relying
on
first‐principles
calculations.
complex
structure,
strong
anharmonicity,
soft
lattice
pose
challenges
studies.
In
this
perspective,
basis
briefly
reviewing
current
knowledge
concerning
computational
studies
work
concentrates
addressing
unsolved
problems
proposing
possible
research
directions
future.
This
perspective
particularly
emphasizes
indispensability
developing
advanced
approaches
deeply
nature
defects
conducting
data‐driven
designing
reasonable
strategies
improve
performance
applications.
Finally,
highlights
that
theoretical
should
pay
more
attention
establishing
close
clear
links
experimental
investigations
provide
useful
insights
scientific
industrial
communities.
npj Computational Materials,
Journal Year:
2025,
Volume and Issue:
11(1)
Published: Jan. 11, 2025
Metal
halide
perovskites
(MHPs)
exhibit
unusual
properties
and
complex
dynamics.
By
combining
ab
initio
time-dependent
density
functional
theory,
nonadiabatic
molecular
dynamics
machine
learning,
we
advance
quantum
simulation
to
nanosecond
timescale
demonstrate
that
large
fluctuations
of
MHP
defect
energy
levels
extend
light
absorption
longer
wavelengths
enable
trapped
charges
escape
into
bands.
This
allows
low
photons
contribute
photocurrent
through
up-conversion.
Deep
can
become
shallow
transiently
vice
versa,
altering
the
traditional
classification
deep.
While
fluctuate
more
in
MHPs
than
semiconductors,
some
levels,
e.g.,
Pb
interstitials,
remain
far
from
band
edges,
acting
as
charge
recombination
centers.
Still,
many
defects
deemed
detrimental
based
on
static
structures,
are
fact
benign
The
extended
harvesting
up-conversion
provide
strategies
for
design
novel
solar,
optoelectronic,
information
devices.
The Journal of Physical Chemistry Letters,
Journal Year:
2023,
Volume and Issue:
14(26), P. 6028 - 6036
Published: June 23, 2023
Metal
halide
perovskites
(MHPs)
have
attracted
attention
because
of
their
high
optoelectronic
performance
that
is
fundamentally
rooted
in
the
unusual
properties
MHP
defects.
By
developing
an
ab
initio-based
machine-learning
force
field,
we
sample
structural
dynamics
MHPs
on
a
nanosecond
time
scale
and
show
vacancies
create
midgap
trap
states
bulk
but
not
surface.
Deep
traps
result
from
Pb-Pb
dimers
can
form
across
vacancy
only
bulk.
The
required
shortening
distance
by
nearly
3
Å
facilitated
either
charge
trapping
or
50
ps
thermal
fluctuations.
large-scale
deformations
are
possible
soft.
Halide
surface
no
deep
separate
electrons
holes,
keeping
charges
mobile.
This
particularly
favorable
for
quantum
dots,
which
do
require
sophisticated
passivation
to
emit
light
blink
less
than
dots
formed
traditional
inorganic
semiconductors.
Chemistry of Materials,
Journal Year:
2024,
Volume and Issue:
36(6), P. 2898 - 2906
Published: March 12, 2024
Grain
boundaries
(GBs)
play
an
important
role
in
determining
the
optoelectronic
properties
of
perovskites,
requiring
atomistic
understanding
underlying
mechanisms.
Strain
engineering
has
recently
been
employed
perovskite
solar
cells,
providing
a
novel
perspective
on
GBs.
Here,
we
theoretically
investigate
impact
axial
strain
geometric
and
electronic
common
CsPbBr3
GB.
We
develop
machine
learning
force
field
perform
ab
initio
calculations
to
analyze
behavior
GB
models
with
different
strains
nanosecond
time
scale.
Our
results
demonstrate
that
compressing
efficiently
suppresses
structural
fluctuations
eliminates
trap
states
originating
from
large-scale
distortions.
The
becomes
more
amorphous
under
compressive
strain,
which
makes
relationship
between
structure
nonmonotonic.
These
can
help
clarify
conflicts
experiments.
Journal of the American Chemical Society,
Journal Year:
2024,
Volume and Issue:
146(23), P. 16314 - 16323
Published: May 30, 2024
Two-dimensional
(2D)
metal
halide
perovskites,
such
as
BA2SnI4
(BA═CH3(CH2)3NH3),
exhibit
an
enhanced
charge
carrier
lifetime
in
experiments
under
strain.
Experiments
suggest
that
significant
compression
of
the
BA
molecule,
rather
than
inorganic
lattice,
contributes
to
this
enhancement.
To
elucidate
underlying
physical
mechanism,
we
apply
a
moderate
compressive
strain
entire
system
and
subsequently
introduce
molecules.
We
then
perform
ab
initio
nonadiabatic
molecular
dynamics
simulations
nonradiative
electron–hole
recombination.
observe
overall
lattice
reduces
atomic
motions
decreases
coupling,
thereby
delaying
Additionally,
molecules
enhances
hydrogen
bonding
between
iodine
atoms,
which
lengthens
Sn–I
bonds,
distorts
[SnI6]4–
octahedra,
suppresses
further,
thus
reducing
coupling.
Also,
elongated
bonds
weakened
antibonding
interactions
increase
band
gap.
Altogether,
delays
recombination
by
more
factor
3.
Our
provide
new
valuable
insights
into
how
strain,
accommodated
primarily
organic
ligands,
positively
influences
optoelectronic
properties
2D
layered
offering
promising
pathway
for
further
performance
improvements.
Nanoscale,
Journal Year:
2024,
Volume and Issue:
16(18), P. 8986 - 8995
Published: Jan. 1, 2024
Transformations
between
multiple
tautomeric
forms
of
defective
graphitic
carbon
nitride
occur
on
nanosecond
timescales,
but
these
transformations
have
little
influence
charge
carrier
lifetimes.
The Journal of Chemical Physics,
Journal Year:
2025,
Volume and Issue:
162(2)
Published: Jan. 8, 2025
This
study
presents
an
efficient
methodology
for
simulating
nonadiabatic
dynamics
of
complex
materials
with
excitonic
effects
by
integrating
machine
learning
(ML)
models
simplified
Tamm–Dancoff
approximation
(sTDA)
calculations.
By
leveraging
ML
models,
we
accurately
predict
ground-state
wavefunctions
using
unconverged
Kohn–Sham
(KS)
Hamiltonians.
These
ML-predicted
KS
Hamiltonians
are
then
employed
sTDA-based
excited-state
calculations
(sTDA/ML).
The
results
demonstrate
that
energies,
time-derivative
couplings,
and
absorption
spectra
from
sTDA/ML
accurate
enough
compared
those
conventional
density
functional
theory
based
sTDA
(sTDA/DFT)
Furthermore,
sTDA/ML-based
molecular
simulations
on
two
different
systems,
namely
chloro-substituted
silicon
quantum
dot
monolayer
black
phosphorus,
achieve
more
than
100
times
speedup
the
linear
response
time-dependent
DFT
simulations.
work
highlights
potential
ML-accelerated
studying
complicated
photoinduced
large
offering
significant
computational
savings
without
compromising
accuracy.
The
multicomponent
oxide
solid
solution
is
a
versatile
platform
to
tune
the
delicate
balance
between
competing
spin,
charge,
orbital,
and
lattice
degrees
of
freedom
for
materials
design
discovery.
development
compositionally
complex
oxides
with
superior
functional
properties
has
been
largely
empirical
serendipitous,
in
part
due
exceedingly
chemistry
structure
solutions
that
span
range
length
scales.
usage
classical
molecular
dynamics
(MD),
powerful
statistical
method,
computer-aided
not
yet
reached
same
level
sophistication
as
drug
because
limited
availability
accuracy
force
fields
solids.
Here,
we
introduce
strategy
``modular
deep
potential''
(ModDP)
enables
systematic
improvement
deep-neural-network-based
model
potential,
termed
minimum
human
intervention.
converged
training
database
associated
an
end-member
material
treated
independent
module
reused
train
potential
via
concurrent
learning
procedure.
We
apply
ModDP
obtain
two
technologically
important
solutions,
${\mathrm{Pb}}_{x}{\mathrm{Sr}}_{1\ensuremath{-}x}{\mathrm{TiO}}_{3}$
${\mathrm{Hf}}_{x}{\mathrm{Zr}}_{1\ensuremath{-}x}{\mathrm{O}}_{2}$.
For
both
materials'
systems,
single
capable
predicting
various
including
temperature-driven
composition-driven
phase
transitions
over
wide
compositions.
In
particular,
reproduces
few
known
topological
textures
such
polar
vortex
electric
dipole
waves
${\mathrm{PbTiO}}_{3}/{\mathrm{SrTiO}}_{3}$
superlattices,
paving
way
MD
investigations
on
structures
response
external
stimuli.
simulations
${\mathrm{Hf}}_{x}{\mathrm{Zr}}_{1\ensuremath{-}x}{\mathrm{O}}_{2}$
reveal
substantial
impact
composition
variation
transition
temperature
nature
high-temperature
nonpolar
phase.
Journal of the American Chemical Society,
Journal Year:
2024,
Volume and Issue:
146(42), P. 29255 - 29265
Published: Oct. 11, 2024
Halide
interstitial
defects
severely
hinder
the
optoelectronic
performance
of
metal
halide
perovskites,
making
research
on
their
passivation
crucial.
We
demonstrate,
using
ab
initio
nonadiabatic
molecular
dynamics
simulations,
that
hydrogen
vacancies
(H