Abstract.
Atmospheric
new
particle
formation
is
initiated
by
clustering
of
gaseous
precursors,
such
as
small
acids
and
bases.
The
hygroscopic
properties
those
precursors
therefore
affect
the
aerosol
particles.
In
this
work,
water
uptake
different
salts
consisting
atmospheric
amines
was
studied
computationally
using
conductor-like
screening
model
for
real
solvents
(COSMO-RS).
This
method
allows
prediction
activities
in
atmospherically
relevant
that
have
not
been
included
other
thermodynamics
models.
Water
are
reported
here
binary
aqueous
salt
solutions,
well
ternary
solutions
containing
proxies
organic
constituents.
order
cation
species
regarding
similar
sulfate,
iodate
methylsulfonate,
bisulfate
nitrate.
Predicted
strengths
(in
mole
fraction)
follow
orders:
tertiary
>
secondary
primary
amines,
guanidinos
amino
acids.
addition
soluble
to
generally
leads
weaker
compared
pure
salts.
On
hand,
water-insoluble
likely
phase
separates
with
leading
minimal
effects
on
uptake.
Ecotoxicology and Environmental Safety,
Год журнала:
2023,
Номер
257, С. 114911 - 114911
Опубликована: Апрель 15, 2023
Machine
learning
(ML)
is
an
advanced
computer
algorithm
that
simulates
the
human
process
to
solve
problems.
With
explosion
of
monitoring
data
and
increasing
demand
for
fast
accurate
prediction,
ML
models
have
been
rapidly
developed
applied
in
air
pollution
research.
In
order
explore
status
applications
research,
a
bibliometric
analysis
was
made
based
on
2962
articles
published
from
1990
2021.
The
number
publications
increased
sharply
after
2017,
comprising
approximately
75%
total.
Institutions
China
United
States
contributed
half
all
with
most
research
being
conducted
by
individual
groups
rather
than
global
collaborations.
Cluster
revealed
four
main
topics
application
ML:
chemical
characterization
pollutants,
short-term
forecasting,
detection
improvement
optimizing
emission
control.
rapid
development
algorithms
has
capability
characteristics
multiple
analyze
reactions
their
driving
factors,
simulate
scenarios.
Combined
multi-field
data,
are
powerful
tool
analyzing
atmospheric
processes
evaluating
management
quality
deserve
greater
attention
future.
Environmental Science & Technology,
Год журнала:
2023,
Номер
57(17), С. 6944 - 6954
Опубликована: Апрель 21, 2023
Iodic
acid
(IA)
has
recently
been
recognized
as
a
key
driver
for
new
particle
formation
(NPF)
in
marine
atmospheres.
However,
the
knowledge
of
which
atmospheric
vapors
can
enhance
IA-induced
NPF
remains
limited.
The
unique
halogen
bond
(XB)-forming
capacity
IA
makes
it
difficult
to
evaluate
enhancing
potential
(EP)
target
compounds
on
based
widely
studied
sulfuric
systems.
Herein,
we
employed
three-step
procedure
EP
nucleation
precursors
NPF.
First,
evaluated
63
by
simulating
free
energies
(ΔG)
IA-containing
dimer
clusters.
Among
all
clusters,
44
contained
XBs,
demonstrating
that
XBs
are
frequently
formed.
Based
calculated
ΔG
values,
quantitative
structure–activity
relationship
model
was
developed
evaluating
other
precursors.
Second,
amines
and
O/S-atom-containing
acids
were
found
have
high
EP,
with
diethylamine
(DEA)
yielding
highest
combining
both
concentration
considered
Finally,
studying
larger
(IA)1–3(DEA)1–3
IA-DEA
system
merely
0.1
ppt
(2.5×106
cm–3)
DEA
yields
comparable
rates
IA–iodous
system.
Wiley Interdisciplinary Reviews Computational Molecular Science,
Год журнала:
2023,
Номер
13(5)
Опубликована: Май 9, 2023
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
Chemical Physics Reviews,
Год журнала:
2023,
Номер
4(3)
Опубликована: Сен. 1, 2023
Atmospheric
molecular
cluster
formation
is
the
first
stage
toward
aerosol
particle
formation.
Despite
intensive
progress
in
recent
years,
relative
role
of
different
vapors
and
mechanisms
for
forming
clusters
still
not
well-understood.
Quantum
chemical
(QC)
methods
can
give
insight
into
thereby
yield
information
about
potentially
relevant
compounds.
Here,
we
summarize
QC
literature
on
clustering
involving
species
such
as
sulfuric
acid,
methanesulfonic
nitric
acid.
The
importance
iodine
iodous
acid
(HIO2)
iodic
(HIO3)
atmospheric
an
emerging
topic,
critically
review
our
view
how
to
future.
We
outline
machine
learning
(ML)
be
used
enhance
configurational
sampling,
leading
a
massive
increase
compositions
that
modeled.
In
future,
ML-boosted
could
allow
us
comprehensively
understand
complex
with
multiple
pathways,
one
step
closer
implementing
accurate
models.
Physical Chemistry Chemical Physics,
Год журнала:
2023,
Номер
25(10), С. 7394 - 7400
Опубликована: Янв. 1, 2023
New-particle
formation
from
condensable
acid
and
base
molecules
is
a
ubiquitous
phenomenon
in
the
atmosphere.
The
role
of
water
salt
particle
not
fully
understood
as
it
can
stabilize
or
destabilize
cluster
structures,
which
leads
to
non-linear
effects
on
dynamics.
In
studied
systems,
increased
relative
humidity
enhance
for
up
four
orders
magnitude
case
nitric
acid,
but
also
slightly
reduce
cases
sulfuric
methanesulfonic
acid.
As
effect
varies
many
depending
molecules,
neglecting
hydration
using
same
value
different
systems
may
introduce
remarkable
inaccuracies
large-scale
models.
Journal of Geophysical Research Atmospheres,
Год журнала:
2025,
Номер
130(8)
Опубликована: Апрель 17, 2025
Abstract
Sulfuric
acid
(SA),
methanesulfonic
(MSA),
iodic
(HIO
3
),
and
iodous
2
)
are
identified
as
key
nucleation
precursors
can
coexist
in
the
marine
atmosphere.
Here,
we
investigated
potential
SA‐MSA‐HIO
‐HIO
quaternary
mechanism
by
exploring
formation
of
(SA)
w
(MSA)
x
y
z
(0
≤
+
3,
1
3)
clusters
with
quantum
chemical
calculation
kinetics
modelling.
The
results
indicate
that
effectively
nucleate
under
atmospheric
conditions.
rate
is
up
to
7
orders
magnitude
higher
than
SA/MSA‐HIO
,
ternary
mechanisms,
SA/MSA/HIO
binary
mechanisms
at
some
specific
mainly
driven
acid‐base
reaction
base)
halogen
bonds
besides
hydrogen
bonds,
three
acids
showing
both
competitive
cooperative
roles.
More
importantly,
it
was
found
contribution
MSA
aerosol
comparable
SA
equal
concentrations.
unexpectedly
high
attributed
its
halogen‐bonding
capacity
SA.
This
study
highlights
need
consider
multicomponent
atmosphere
for
accurate
climate
projections,
may
serve
important
proof
weak
even
coexisting
Atmospheric chemistry and physics,
Год журнала:
2024,
Номер
24(7), С. 3989 - 4000
Опубликована: Апрель 3, 2024
Abstract.
Iodic
acid
(HIO3)
and
iodous
(HIO2)
have
been
identified
as
nucleating
effectively
by
the
Cosmics
Leaving
Outdoor
Droplets
(CLOUD)
experiment
at
CERN,
yet
it
may
be
hard
to
explain
all
HIO3-induced
nucleation.
Given
complexity
of
marine
atmosphere,
other
precursors
involved.
Methanesulfonic
(MSA),
a
widespread
precursor
over
oceans,
has
proven
play
vital
role
in
facilitating
However,
its
kinetic
impacts
on
synergistic
nucleation
iodine
oxoacids
remain
unclear.
Hence,
we
investigated
MSA-involved
HIO3–HIO2
process
molecular
level
using
density
functional
theory
(DFT)
Atmospheric
Cluster
Dynamics
Code
(ACDC).
Our
results
show
that
MSA
can
form
stable
clusters
with
HIO3
HIO2
jointed
via
hydrogen
bonds,
halogen
electrostatic
attraction
after
proton
transfer
HIO2.
Thermodynamically,
clustering
occur
nearly
without
free-energy
barrier,
following
HIO2–MSA
binary
HIO3–HIO2–MSA
ternary
pathway.
Furthermore,
our
considering
will
significantly
enhance
calculated
rate
HIO3–HIO2-based
cluster
formation,
up
104-fold
cold
regions
containing
rich
scarce
iodine,
such
polar
Ny-Ålesund
Marambio.
Thus,
proposed
more
efficient
mechanism
provide
theoretical
evidence
for
explaining
frequent
intensive
bursts
particles.