Accurately Computed Dimerization Trends of ALD Precursors and Their Impact on Surface Reactivity in Area-Selective Atomic Layer Deposition
Chemistry of Materials,
Год журнала:
2025,
Номер
unknown
Опубликована: Янв. 17, 2025
The
Lewis
acidic
nature
of
aluminum
atoms
in
common
precursors
for
the
atomic
layer
deposition
(ALD)
Al2O3
can
lead
to
dimerization.
This
study
investigates
whether
these
compounds
predominantly
exist
as
monomers
or
dimers
under
ALD
conditions.
Understanding
dimerization
is
crucial
discussing
precursor
reactivities
and
other
properties,
especially
context
area-selective
(AS-ALD).
We
employed
a
theoretical
approach
incorporating
conformer
search,
density
functional
theory,
coupled
cluster
calculations,
determine
dissociated
dimer
fraction
range
typical
pressures
temperatures.
studied
include
alkyls,
chlorinated
dimethylaluminum
isopropoxide
(DMAI),
tris(dimethylamido)aluminum
(TDMAA).
Our
findings
indicate
that
alkyls
are
completely
over
whole
parameter
range,
while
DMAI
TDMAA
form
stable
dimers.
Chlorinated
were
found
both
monomeric
dimeric
forms,
depending
on
temperature
pressure.
Язык: Английский
Dimerization equilibrium of group 13 precursors for vapor deposition of thin films
Computational and Theoretical Chemistry,
Год журнала:
2024,
Номер
unknown, С. 114953 - 114953
Опубликована: Окт. 1, 2024
Язык: Английский
Application of machine learning for environmentally friendly advancement: exploring biomass-derived materials in wastewater treatment and agricultural sector − a review
Journal of Environmental Science and Health Part A,
Год журнала:
2025,
Номер
unknown, С. 1 - 16
Опубликована: Фев. 2, 2025
There
are
several
uses
for
biomass-derived
materials
(BDMs)
in
the
irrigation
and
farming
industries.
To
solve
problems
with
material,
process,
supply
chain
design,
BDM
systems
have
started
to
use
machine
learning
(ML),
a
new
technique
approach.
This
study
examined
articles
published
since
2015
understand
better
current
status,
future
possibilities,
capabilities
of
ML
supporting
environmentally
friendly
development
applications.
Previous
applications
were
classified
into
three
categories
according
their
objectives:
material
process
performance
prediction
sustainability
evaluation.
helps
optimize
BDMs
systems,
predict
properties
performance,
reverse
engineering,
data
difficulties
evaluations.
Ensemble
models
cutting-edge
Neural
Networks
operate
satisfactorily
on
these
datasets
easily
generalized.
neural
network
poor
interpretability,
there
not
been
any
studies
assessment
that
consider
geo-temporal
dynamics;
thus,
building
methods
is
currently
practical.
Future
research
should
follow
workflow.
Investigating
potential
system
optimization,
evaluation
sustainable
requires
further
investigation.
Язык: Английский
Site-specific surface reactivity on SnO2: Evaluating selective atomic layer deposition processes
Applied Surface Science,
Год журнала:
2025,
Номер
unknown, С. 162966 - 162966
Опубликована: Март 1, 2025
Язык: Английский
Computational Ab Initio Approaches for Area-Selective Atomic Layer Deposition: Methods, Status, and Perspectives
Chemistry of Materials,
Год журнала:
2025,
Номер
unknown
Опубликована: Апрель 4, 2025
Язык: Английский
Atomic-scale passivation strategy for stabilizing tricolor perovskite quantum dots with enhanced photoluminescence
Journal of Information Display,
Год журнала:
2025,
Номер
unknown, С. 1 - 11
Опубликована: Апрель 18, 2025
Язык: Английский
Probing the Effects of Dimethyl Aluminum Isopropoxide Surface Reaction Byproducts on Atomic Layer Deposition Nucleation
ACS Applied Materials & Interfaces,
Год журнала:
2025,
Номер
unknown
Опубликована: Апрель 22, 2025
Atomic
layer
deposition
(ALD)
processes
that
leverage
a
myriad
of
metal-organic
and
complementary
reactant
combinations
have
been
identified
to
realize
precise
conformal
thin
film
growth.
However,
the
effects
ALD
reaction
byproducts
on
nucleation
growth
mechanisms
are
rarely
considered.
Site-selective
provide
an
opportunity
for
detailed
investigation
uniform
surface
sites
with
atomistic
accuracy.
Intentional
pretreatment
known
byproduct
-
isopropanol
enables
significant
improvement
in
rate
reproducibility
dimethylaluminum
isopropoxide
water
rutile
TiO2(110).
In
situ
spectroscopic
ellipsometry
reveals
partially
reversible
binding
is
site-selective
TiO2(110)
oxygen
vacancies.
First-principles
calculations
reveal
site-specific
thermodynamics
adsorption
may
influence
nucleation.
The
sensitivity
motivates
consideration
secondary
reactions
when
designing
precision
processes,
including
area-
or
reactions.
Язык: Английский
Accurately computed dimerization fraction of ALD precursors and their impact on surface reactivity in area-selective atomic layer deposition
Опубликована: Авг. 22, 2024
The
Lewis
acidic
nature
of
aluminum
atoms
in
common
precursors
for
the
atomic
layer
deposition
(ALD)
Al2O3
can
lead
to
dimerization.
This
study
investigates
whether
these
compounds
predominantly
exist
as
monomers
or
dimers
under
ALD
conditions.
Understanding
dimerization
is
crucial
discussing
precursor
reactivities
and
other
properties,
especially
context
area-selective
(AS-ALD).
We
employed
a
theoretical
approach,
incorporating
conformer
search,
density
functional
theory,
coupled
cluster
calculations,
determine
dissociated
dimer
fraction
range
typical
pressures
temperatures.
studied
include
alkyls,
chlorinated
dimethylaluminumisopropoxide
(DMAI),
trisdimethylamidoaluminum
(TDMAA).
Our
findings
indicate
that
alkyls
are
completely
over
whole
parameter
range,
while
DMAI
TDMAA
form
stable
dimers.
Chlorinated
were
found
both
monomeric
dimeric
forms
depending
on
temperature
pressure.
Язык: Английский