Toward Accurate Quantum Mechanical Thermochemistry: (2) Optimal Methods for Enthalpy Calculations from Comprehensive Benchmarks of 284 Model Chemistries
The Journal of Physical Chemistry A,
Journal Year:
2025,
Volume and Issue:
unknown
Published: April 20, 2025
Accurate
and
efficient
computations
of
the
standard
enthalpies
formation
(ΔHf°)
for
small
organic
molecules
are
crucial
diverse
chemical
engineering
scientific
applications.
Building
on
part
1
this
work
[J.
Phys.
Chem.
A
2024,
128,
21,
4335-4352],
we
systematically
benchmark
284
model
chemistries
ΔHf°
computations.
These
methods
span
semiempirical
approaches,
density
functional
theory
(DFT),
wave
function
theory,
composite
schemes.
We
derive
Petersson-
Melius-type
bond-additivity
corrections
(BACs)
each
method
using
a
curated
database
421
reference
species.
further
validate
top-performing
an
independent
test
set
500
species,
including
ions,
radicals,
other
challenging
cases.
Across
nearly
all
BACs
significantly
improve
accuracy,
especially
neutral
singlet
Composite
schemes
coupling
moderate-level
DFT
geometries
with
local
coupled-cluster
single-point
energies
strike
excellent
balance
between
cost
often
approaching
accuracy
(≤1
kcal/mol).
Notably,
DLPNO-CCSD(T)-F12d/cc-pVTZ-F12//ωB97X-D/def2-TZVPD
Petersson
BAC
attains
benchmark-best
mean
absolute
error
(MAE)
0.57
kcal/mol.
Switching
to
DLPNO-CCSD(T)-F12d/cc-pVDZ-F12//GFN2-xTB
reduces
computational
by
order
magnitude,
only
modest
increase
in
MAE
(0.96
Although
carefully
tuned
can
also
benefit
charged
open-shell
scarcity
robust
data
these
areas
highlights
need
broader,
high-accuracy
thermochemistry
datasets.
Overall,
provides
practical
guidance
selecting
optimal
efficiently
compute
accurate
under
varied
constraints
molecular
complexities,
laying
foundation
large-scale,
high-throughput
thermochemical
calculations
that
will
support
data-driven
discovery
industrial
Language: Английский
Unifying thermochemistry concepts in computational heterogeneous catalysis
Chemical Society Reviews,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Nov. 29, 2024
Thermophysical
properties
of
adsorbates
and
gas-phase
species
define
the
free
energy
landscape
heterogeneously
catalyzed
processes
are
pivotal
for
an
atomistic
understanding
catalyst
performance.
Language: Английский
Perspective on automated predictive kinetics using estimates derived from large datasets
International Journal of Chemical Kinetics,
Journal Year:
2024,
Volume and Issue:
unknown
Published: June 25, 2024
Abstract
A
longstanding
project
of
the
chemical
kinetics
community
is
to
predict
reaction
rates
and
behavior
reacting
systems,
even
for
systems
where
there
are
no
experimental
data.
Many
important
(atmosphere,
combustion,
pyrolysis,
partial
oxidations)
involve
a
large
number
reactions
occurring
simultaneously,
intermediates
that
have
never
been
observed,
making
this
goal
more
challenging.
Improvements
in
our
ability
compute
rate
coefficients
other
parameters
accurately
from
first
principles,
improvements
automated
kinetic
modeling
software,
partially
overcome
many
challenges.
Indeed,
some
cases
quite
complicated
models
constructed
which
predicted
results
independent
experiments.
However,
process
constructing
models,
deciding
measure
or
ab
initio,
relies
on
accurate
estimates
(and
indeed
most
numerical
estimates.)
Machine‐learned
trained
datasets
can
improve
accuracy
these
estimates,
allow
better
integration
quantum
chemistry
The
need
continued
development
shared
(perhaps
open‐source)
software
databases,
directions
improvement,
highlighted.
As
we
model
weaknesses
traditional
ways
doing
modeling,
testing
exposed,
identifying
several
challenges
future
research
by
community.
Language: Английский
Thermodynamic and Chemical Kinetic Parameters in Ammonia Oxidation: A Comparison of Recent Studies and Parameter Recommendations
Alon Grinberg Dana,
No information about this author
Kfir Kaplan,
No information about this author
Michal Keslin
No information about this author
et al.
Energy & Fuels,
Journal Year:
2024,
Volume and Issue:
38(22), P. 22482 - 22500
Published: Oct. 29, 2024
Ammonia
is
a
promising
energy
storage
vector
for
renewable
hydrogen
and
could
become
an
essential
part
of
the
future
mix.
To
efficiently
utilize
ammonia
as
fuel,
overcome
its
relatively
low
reactivity
high
tailpipe
emissions,
optimize
ratio
different
additives,
it
crucial
to
develop
accurate
chemical
kinetic
predictive
abilities
this
system.
In
study,
we
review
compare
thermo-kinetic
parameters
from
19
reaction
mechanisms
published
in
five-year
period
2018–2023.
This
comparison
reveals
concerning
inconsistency
thermodynamic
used
many
species
H/N
H/N/O
subsets.
One
was
even
double-counted
(having
two
distinct
labels
with
similar
sets
reactions)
six
these
recent
mechanisms.
Twelve
reactions
were
identified
which
reported
rate
coefficient
deviates
by
3
orders
magnitude
or
more
at
1000
K
among
reviewed
sources.
Not
all
literature
are
trackable
properly
cited.
modeling
suffers
"many-model"
problem,
significant
parameter
values
studies.
The
present
work
highlights
some
concerns
attempts
advance
current
state
NH3
oxidation
suggesting
coherent
set
justified
other
quantum
chemistry
calculations
here.
It
recommended
that
studies
will
justify
thermokinetic
they
use─especially
deviations
established
values─make
sources
trackable,
provide
glossary
structures
suggested
mechanism.
Language: Английский