Understanding the Core Limitations of Second-Order Correlation-Based Functionals Through: Functional, Orbital, and Eigenvalue-Driven Analysis
Journal of Chemical Theory and Computation,
Journal Year:
2025,
Volume and Issue:
unknown
Published: March 7, 2025
Density
functional
theory
has
long
struggled
to
obtain
the
exact
exchange-correlational
functional.
Numerous
approximations
have
been
designed
in
hope
of
achieving
chemical
accuracy.
However,
designing
a
involves
numerous
methodologies,
which
greater
possibility
for
error
accumulation
if
functionals
are
poorly
formulated.
This
study
aims
investigate
performance
and
limitations
second-order
correlation
within
framework
density
theory.
Specifically,
we
focus
on
three
major
classes
that
incorporate
energy
expressions:
ab
initio
(primarily
Görling-Levy)
functionals,
adiabatic
connection
models,
double-hybrid
functionals.
The
principal
objectives
this
research
evaluate
accuracy
understand
how
choice
reference
orbitals
eigenvalues
affects
these
identify
intrinsic
expressions,
especially
when
using
arbitrary
or
noncanonical
configurations,
propose
strategies
improving
their
By
addressing
questions,
aim
provide
deeper
insights
into
factors
governing
thereby
guiding
future
development.
Language: Английский
Accuracy of charge densities in electronic structure calculations
The Journal of Chemical Physics,
Journal Year:
2025,
Volume and Issue:
162(9)
Published: March 3, 2025
Accurate
charge
densities
are
essential
for
reliable
electronic
structure
calculations
because
they
significantly
impact
predictions
of
various
chemical
properties
and,
in
particular,
according
to
the
Hellmann–Feynman
theorem,
atomic
forces.
This
study
examines
accuracy
obtained
from
different
density
functional
theory
(DFT)
exchange–correlation
functionals
comparison
with
coupled
cluster
single
and
double
excitations.
We
find
that
modern
DFT
can
provide
highly
accurate
densities,
particularly
case
meta-generalized
gradient
approximations
hybrid
functionals.
In
connection
Gaussian
basis
sets,
it
is
necessary
use
largest
sets
available
obtain
nearly
free
set
errors.
These
findings
highlight
importance
selecting
appropriate
computational
methods
generating
high-precision
which
are,
instance,
needed
generate
reference
data
training
machine
learned
potentials.
Language: Английский
Accurate electron densities from quantum Monte Carlo calculations using real-space grids
The Journal of Chemical Physics,
Journal Year:
2025,
Volume and Issue:
162(13)
Published: April 7, 2025
We
provide
accurate
energies
and
electronic
densities
for
Li2,
C,
N2
from
the
diffusion
Monte
Carlo
(DMC)
method
in
fixed
node
approximation
based
on
orbitals
a
real-space
grid
approach.
With
relatively
simple
single-determinant
trial
wave
functions,
we
demonstrate
benefits
of
an
all-electron
approach
conjunction
with
highly
calculating
that
build
determinant.
Our
DMC
ground
state
match
those
more
elaborate
single-reference
quantum
(QMC)
methods
orbital
basis
sets.
The
binning
technique
is
revisited
to
calculate
density
spatial
grid.
examine
dependence
resulting
mixed
estimator
extrapolated
function,
specifically
functional
generating
orbitals,
by
employing
two
distinctly
different
functionals,
namely,
local
exact-exchange
functional.
Residual
statistical
artifacts
QMC
are
readily
corrected
using
regularization
method,
smooth
densities.
As
example
insight
can
be
gained
density,
verify
carbon
atom,
along
one
specific
direction
have
asymptotic
decay
differs
found
all
other
directions.
relate
this
observation
previously
published
work,
which
discussed
implications
such
nodal
feature
may
exact
Kohn–Sham
potential.
Language: Английский