Generalized bond polarizability model for more accurate atomistic modeling of Raman spectra
The Journal of Chemical Physics,
Journal Year:
2025,
Volume and Issue:
162(5)
Published: Feb. 4, 2025
Raman
spectroscopy
is
an
important
tool
for
studying
molecules,
liquids
and
solids.
While
spectra
can
be
obtained
theoretically
from
molecular
dynamics
(MD)
simulations,
this
requires
the
calculation
of
electronic
polarizability
along
simulation
trajectory.
First-principles
calculations
are
computationally
expensive,
motivating
development
atomistic
models
evaluation
changes
in
with
atomic
coordinates
system.
The
bond
model
(BPM)
one
oldest
simplest
such
but
cannot
reproduce
effects
angular
vibrations,
leading
to
inaccurate
modeling
spectra.
Here,
we
demonstrate
that
generalization
BPM
through
inclusion
terms
atom
pairs
traditionally
considered
not
involved
bonding
dramatically
improves
accuracy
calculations.
generalized
(GBPM)
reproduces
ab
initio
a
range
tested
molecules
(SO2,
H2S,
H2O,
NH3,
CH4,
CH3OH,
CH3CH2OH)
high
also
shows
significantly
improved
agreement
results
more
complex
ferroelectric
BaTiO3
systems.
For
liquid
water,
anisotropic
spectrum
derived
MD
simulations
using
GBPM
experimental
compared
BPM.
Thus,
used
large-scale
provides
good
basis
further
models.
Language: Английский
Advances in modeling complex materials: The rise of neuroevolution potentials
Chemical Physics Reviews,
Journal Year:
2025,
Volume and Issue:
6(1)
Published: March 1, 2025
Interatomic
potentials
are
essential
for
driving
molecular
dynamics
(MD)
simulations,
directly
impacting
the
reliability
of
predictions
regarding
physical
and
chemical
properties
materials.
In
recent
years,
machine-learned
(MLPs),
trained
against
first-principles
calculations,
have
become
a
new
paradigm
in
materials
modeling
as
they
provide
desirable
balance
between
accuracy
computational
cost.
The
neuroevolution
potential
(NEP)
approach,
implemented
open-source
GPUMD
software,
has
emerged
promising
potential,
exhibiting
impressive
exceptional
efficiency.
This
review
provides
comprehensive
discussion
on
methodological
practical
aspects
NEP
along
with
detailed
comparison
other
representative
state-of-the-art
MLP
approaches
terms
training
accuracy,
property
prediction,
We
also
demonstrate
application
approach
to
perform
accurate
efficient
MD
addressing
complex
challenges
that
traditional
force
fields
typically
cannot
tackle.
Key
examples
include
structural
liquid
amorphous
materials,
order
alloy
systems,
phase
transitions,
surface
reconstruction,
material
growth,
primary
radiation
damage,
fracture
two-dimensional
nanoscale
tribology,
mechanical
behavior
compositionally
alloys
under
various
loadings.
concludes
summary
perspectives
future
extensions
further
advance
this
rapidly
evolving
field.
Language: Английский
Accuracy and limitations of the bond polarizability model in modeling of Raman scattering from molecular dynamics simulations
Atanu Paul,
No information about this author
Maya Rubenstein,
No information about this author
Anthony Ruffino
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et al.
The Journal of Chemical Physics,
Journal Year:
2024,
Volume and Issue:
161(6)
Published: Aug. 12, 2024
Calculation
of
Raman
scattering
from
molecular
dynamics
(MD)
simulations
requires
accurate
modeling
the
evolution
electronic
polarizability
system
along
its
MD
trajectory.
For
large
systems,
this
necessitates
use
atomistic
models
to
represent
dependence
on
atomic
coordinates.
The
bond
model
(BPM)
is
simplest
such
and
has
been
used
for
spectra
systems
but
not
applied
solid-state
systems.
Here,
we
systematically
investigate
accuracy
limitations
BPM
parameterized
density
functional
theory
results
a
series
simple
molecules,
as
CO2,
SO2,
H2S,
H2O,
NH3,
CH4;
more
complex
CH2O,
CH3OH,
CH3CH2OH,
thiophene
molecules;
BaTiO3
CsPbBr3
perovskite
solids.
We
find
that
can
reliably
reproduce
overall
features
spectra,
shifts
peak
positions.
However,
with
exception
highly
symmetric
assumption
non-interacting
bonds
limits
quantitative
BPM;
also
leads
qualitatively
inaccurate
where
deviations
ground
state
structure
are
present.
Language: Английский
Natural Silkworm Cocoon-Derived Separator with Na-Ion De-Solvated Function for Sodium Metal Batteries
Molecules,
Journal Year:
2024,
Volume and Issue:
29(20), P. 4813 - 4813
Published: Oct. 11, 2024
The
commercialization
of
sodium
batteries
faces
many
challenges,
one
which
is
the
lack
suitable
high-quality
separators.
Herein,
we
presented
a
novel
natural
silkworm
cocoon-derived
separator
(SCS)
obtained
from
cocoon
inner
membrane
after
simple
degumming
process.
A
Na||Na
symmetric
cell
assembled
with
this
can
be
stably
cycled
for
over
400
h
under
test
conditions
0.5
mA
cm−2–0.5
mAh
cm−2.
Moreover,
Na||SCS||Na3V2(PO4)3
full
exhibits
an
initial
capacity
79.3
g−1
at
10
C
and
retention
93.6%
1000
cycles,
far
exceeded
57.5
42.1%
using
commercial
glass
fiber
(GFS).
structural
origin
excellent
electrochemical
performance
lies
in
fact
that
cationic
functional
groups
(such
as
amino
groups)
on
proteins
de-solvate
Na-ions
by
anchoring
ClO4−
solvent
sheath,
thereby
enhancing
transference
number,
transport
kinetics
deposition/dissolution
properties
Na-ions.
In
addition,
SCS
has
significantly
better
mechanical
thinness
indexes
than
GFS,
and,
coupled
advantages
being
natural,
cheap,
non-polluting
degradable,
it
expected
to
used
commercialized
battery
material.
Language: Английский