Aerosol Research,
Journal Year:
2025,
Volume and Issue:
3(1), P. 237 - 251
Published: May 19, 2025
Abstract.
When
simulating
new
particle
formation
rates,
collisions
in
the
system
are
approximated
as
hard
spheres
without
long-range
interactions.
This
simplification
may
lead
to
an
underestimation
of
actual
rate.
In
this
study,
we
employ
semi-empirical
molecular
dynamics
(SEMD)
at
GFN1-xTB
level
theory
probe
sticking
process
monomers
sulfuric
acid
(SA),
methanesulfonic
(MSA),
nitric
(NA),
formic
(FA),
ammonia
(AM),
methylamine
(MA),
dimethylamine
(DMA),
and
trimethylamine
(TMA)
onto
freshly
nucleated
particles
(FNPs).
The
FNPs
considered
(SA)10(AM)10,
(SA)10(MA)10,
(SA)10(DMA)10,
(SA)10(TMA)10.
general,
find
that
hard-sphere
kinetic
approximation,
which
neglects
interactions,
significantly
underestimates
number
leading
sticking.
By
calculating
coefficient
from
SEMD
simulations,
obtain
enhancement
factors
2.3
1.5
for
SA
+
(SA)10(AM)10
AM
collisions,
respectively.
A
comparison
with
OPLS
(optimized
potentials
liquid
simulations)
all-atom
force
field
simulations
shows
similar
2.4
1.6
Compared
exhibits
a
more
isotropic
behavior,
probability
remaining
near
unity
small
offsets
before
rapidly
dropping
0
%
beyond
certain
offset.
contrast,
show
gradual
decline
due
orientations
still
largest
discrepancy
between
two
methods
occurs
lower
collision
velocities
–
below
200
m
s−1
400
where
even
head-on
predict
low
or
zero
probability.
has
previously
been
attributed
periodic
repulsions
rotating
partners
caused
by
fluctuations
their
charge
distributions.
do
not
exhibit
behavior.
Since
these
populated
our
both
yield
factors.
However,
systems
larger
effective
masses,
such
prevalent,
would
expect
diverge.
npj Climate and Atmospheric Science,
Journal Year:
2023,
Volume and Issue:
6(1)
Published: June 27, 2023
Abstract
As
one
of
the
least
understood
aerosol
processes,
nucleation
can
be
a
dominant
source
atmospheric
aerosols.
Sulfuric
acid
(SA)-amine
binary
with
dimethylamine
(DMA)
has
been
recognized
as
governing
mechanism
in
polluted
continental
boundary
layer.
Here
we
demonstrate
importance
trimethylamine
(TMA)
for
complex
atmosphere
and
propose
molecular-level
SA-DMA-TMA
ternary
an
improvement
upon
conventional
mechanism.
Using
proposed
mechanism,
could
connect
gaseous
amines
to
SA-amine
cluster
signals
measured
urban
Beijing.
Results
show
that
TMA
accelerate
SA-DMA-based
new
particle
formation
Beijing
by
50–100%.
Considering
global
abundance
DMA,
our
findings
imply
comparable
DMA
layer,
probably
higher
contributions
from
rural
environments
future
controlled
emissions.
Abstract
Aerosol
particles
are
important
for
our
global
climate,
but
the
mechanisms
and
especially
relative
importance
of
various
vapors
new
formation
(NPF)
remain
uncertain.
Quantum
chemical
(QC)
studies
on
organic
enhanced
nucleation
has
past
couple
decades
attracted
immense
attention,
very
little
remains
known
about
exact
compounds
that
potentially
NPF.
Here
we
comprehensively
review
QC
literature
atmospheric
cluster
involving
compounds.
We
outline
potential
systems
should
be
further
investigated.
Cluster
complex
multi‐functional
accretion
products
warrant
investigations,
such
out
reach
with
currently
applied
methodologies.
suggest
a
“cluster
functional
groups”
approach
to
address
this
issue,
which
will
allow
identification
structure
involved
in
This
article
is
categorized
under:
Theoretical
Physical
Chemistry
>
Reaction
Dynamics
Kinetics
Software
Thermochemistry
Molecular
Statistical
Mechanics
Interactions
The Journal of Physical Chemistry A,
Journal Year:
2023,
Volume and Issue:
127(9), P. 2091 - 2103
Published: Feb. 22, 2023
The
formation
of
molecular
clusters
and
secondary
aerosols
in
the
atmosphere
has
a
significant
impact
on
climate.
Studies
typically
focus
new
particle
(NPF)
sulfuric
acid
(SA)
with
single
base
molecule
(e.g.,
dimethylamine
or
ammonia).
In
this
work,
we
examine
combinations
synergy
several
bases.
Specifically,
used
computational
quantum
chemistry
to
perform
configurational
sampling
(CS)
(SA)0-4(base)0-4
five
different
types
bases:
ammonia
(AM),
methylamine
(MA),
(DMA),
trimethylamine
(TMA),
ethylenediamine
(EDA).
Overall,
studied
316
clusters.
We
traditional
multilevel
funnelling
approach
augmented
by
machine-learning
(ML)
step.
ML
made
CS
these
possible
significantly
enhancing
speed
quality
search
for
lowest
free
energy
configurations.
Subsequently,
cluster
thermodynamics
properties
were
evaluated
at
DLPNO-CCSD(T0)/aug-cc-pVTZ//ωB97X-D/6-31++G(d,p)
level
theory.
calculated
binding
energies
evaluate
stabilities
population
dynamics
simulations.
resultant
SA-driven
NPF
rates
synergies
bases
are
presented
show
that
DMA
EDA
act
as
nucleators
(although
becomes
weak
large
clusters),
TMA
acts
catalyzer,
AM/MA
is
often
overshadowed
strong
ACS Omega,
Journal Year:
2023,
Volume and Issue:
8(10), P. 9621 - 9629
Published: Feb. 28, 2023
Formic
acid
(FA)
is
a
prominent
candidate
for
organic
enhanced
nucleation
due
to
its
high
abundance
and
stabilizing
effect
on
smaller
clusters.
Its
role
in
new
particle
formation
studied
through
the
use
of
state-of-the-art
quantum
chemical
methods
cluster
systems
(acid)1–2(FA)1(base)1–2
with
acids
being
sulfuric
(SA)/methanesulfonic
(MSA)
bases
consisting
ammonia
(A),
methylamine
(MA),
dimethylamine
(DMA),
trimethylamine
(TMA),
ethylenediamine
(EDA).
A
funneling
approach
used
determine
structures
initial
configurations
generated
ABCluster
program,
followed
by
semiempirical
PM7
ωB97X-D/6-31++G(d,p)
calculations.
The
final
binding
free
energy
calculated
at
DLPNO-CCSD(T0)/aug-cc-pVTZ//ωB97X-D/6-31++G(d,p)
level
theory
using
quasi-harmonic
approximation.
Cluster
dynamics
simulations
show
that
FA
has
minuscule
or
negligible
MSA–FA–base
as
well
most
SA–FA–base
systems.
SA–FA–DMA
system
shows
highest
influence
from
an
enhancement
21%,
compared
non-FA
counterpart.
ACS Omega,
Journal Year:
2021,
Volume and Issue:
6(26), P. 17035 - 17044
Published: June 23, 2021
The
role
of
methanesulfonic
acid
(MSA)
in
atmospheric
new
particle
formation
remains
highly
uncertain.
Using
state-of-the-art
computational
methods,
we
study
the
electrically
neutral
ACS Omega,
Journal Year:
2022,
Volume and Issue:
7(17), P. 15206 - 15214
Published: April 20, 2022
Acid-base
molecular
clusters
are
an
important
stage
in
atmospheric
new
particle
formation.
While
such
most
likely
multicomponent
nature,
there
very
few
reports
on
consisting
of
multiple
acid
molecules
and
base
molecules.
By
applying
state-of-the-art
quantum
chemical
methods,
we
herein
study
electrically
neutral
(SA)1(MSA)1(base)0-2
with
=
ammonia
(A),
methylamine
(MA),
dimethylamine
(DMA),
trimethylamine
(TMA)
ethylenediamine
(EDA).
The
cluster
structures
obtained
using
a
funneling
approach
employing
the
ABCluster
program,
semiempirical
PM7
calculations
ωB97X-D/6-31++G(d,p)
calculations.
final
binding
free
energies
calculated
at
DLPNO-CCSD(T0)/aug-cc-pVTZ//ωB97X-D/6-31++G(d,p)
level
theory
quasi-harmonic
approximation.
Based
geometries
thermochemistry
(at
298.15
K
1
atm),
find
that
mixed
(SA)1(MSA)1(base)1-2
more
resemble
(SA)2(base)1-2
compared
to
(MSA)2(base)1-2
clusters.
Hence,
some
steric
hindrance
lack
hydrogen
bond
capacity
previously
observed
is
diminished
corresponding
Cluster
kinetics
simulations
reveal
presence
MSA
molecule
enhances
formation
potential
by
up
factor
20.
We
SA-MSA-DMA
have
highest
potential,
thus,
this
system
should
be
further
extended
larger
sizes
future
studies.
Environmental Science Atmospheres,
Journal Year:
2023,
Volume and Issue:
3(3), P. 444 - 473
Published: Jan. 1, 2023
Atmospheric
amines
from
various
sources
undergo
a
variety
of
homogeneous
and
heterogeneous
reactions
to
contribute
the
overall
process
aerosol
particle
formation
further
affect
climate.
Journal of Chemical Theory and Computation,
Journal Year:
2022,
Volume and Issue:
18(12), P. 7373 - 7383
Published: Nov. 23, 2022
Quantum
chemical
studies
of
the
formation
and
growth
atmospheric
molecular
clusters
are
important
for
understanding
aerosol
particle
formation.
However,
search
lowest
free-energy
cluster
configuration
is
extremely
time
consuming.
This
makes
high-level
benchmark
data
sets
valuable
in
quest
global
minimum
as
it
allows
identification
cost-efficient
computational
methodologies,
well
development
machine
learning
(ML)
models.
Herein,
we
present
a
highly
versatile
quantum
set
comprising
total
11
749
(acid)1–2(base)1–2
configurations,
containing
up
to
44
atoms.
Utilizing
LUMI
supercomputer,
calculated
accurate
PNO-CCSD(F12*)(T)/cc-pVDZ-F12
binding
energies
full
configurations
leading
an
unprecedented
both
regard
sheer
size
with
respect
level
theory.
We
employ
constructed
assess
performance
various
semiempirical
density
functional
theory
methods.
In
particular,
find
that
r2-SCAN-3c
method
shows
excellent
across
related
accuracy
CPU
time,
making
promising
during
configurational
sampling.
Furthermore,
applying
sets,
construct
ML
models
based
on
Δ-learning
provide
recommendations
future
application
Environmental Science & Technology Letters,
Journal Year:
2022,
Volume and Issue:
9(3), P. 239 - 244
Published: Jan. 31, 2022
Quantum
chemical
(QC)
calculations
can
yield
direct
insight
into
an
atmospheric
cluster
formation
mechanism
and
rates.
However,
such
are
extremely
computationally
demanding
as
more
than
millions
of
configurations
might
exist
need
to
be
computed.
We
present
efficient
approach
produce
high
quality
QC
data
sets
for
applications
in
studies
how
train
accurate
quantum
machine
learning
model
on
the
generated
data.
Using
two-component
sulfuric
acid─water
system
a
proof
concept,
we
demonstrate
that
kernel
ridge
regression
with
Δ-learning
trained
accurately
predict
binding
energies
equilibrium
mean
absolute
errors
below
0.5
kcal
mol–1.
Additionally,
enlarge
training
set
nonequilibrium
show
possibility
predicting
new
structures
clusters
several
molecules
larger
those
set.
Applying
leads
drastic
reduction
number
relevant
explicitly
evaluated
by
methods.
The
presented
is
directly
transferable
arbitrary
composition
will
lead
faster
exploration
configurational
space
systems.