i-PI 3.0: A flexible and efficient framework for advanced atomistic simulations
The Journal of Chemical Physics,
Journal Year:
2024,
Volume and Issue:
161(6)
Published: Aug. 14, 2024
Atomic-scale
simulations
have
progressed
tremendously
over
the
past
decade,
largely
thanks
to
availability
of
machine-learning
interatomic
potentials.
These
potentials
combine
accuracy
electronic
structure
calculations
with
ability
reach
extensive
length
and
time
scales.
The
i-PI
package
facilitates
integrating
latest
developments
in
this
field
advanced
modeling
techniques
a
modular
software
architecture
based
on
inter-process
communication
through
socket
interface.
choice
Python
for
implementation
rapid
prototyping
but
can
add
computational
overhead.
In
new
release,
we
carefully
benchmarked
optimized
several
common
simulation
scenarios,
making
such
overhead
negligible
when
is
used
model
systems
up
tens
thousands
atoms
using
widely
adopted
machine
learning
potentials,
as
Behler–Parinello,
DeePMD,
MACE
neural
networks.
We
also
present
features,
including
an
efficient
algorithm
bosonic
fermionic
exchange,
framework
uncertainty
quantification
be
conjunction
infrastructure
that
allows
deeper
integration
electronic-driven
simulations,
approach
simulate
coupled
photon-nuclear
dynamics
optical
or
plasmonic
cavities.
Language: Английский
Anisotropic anharmonicity dictates the thermal conductivity of β-Ga2O3
Abdulaziz Alkandari,
No information about this author
Zherui Han,
No information about this author
Ziqi Guo
No information about this author
et al.
Physical review. B./Physical review. B,
Journal Year:
2025,
Volume and Issue:
111(9)
Published: March 20, 2025
$\ensuremath{\beta}{\text{-Ga}}_{2}{\text{O}}_{3}$
is
a
promising
material
candidate
for
next-generation
high-power
devices
even
as
its
low
thermal
conductivity
($\ensuremath{\kappa}$)
limits
utilization
due
to
an
inability
sufficiently
dissipate
heat.
Despite
the
importance
of
this
inherent
challenge,
significant
discrepancy
persists
between
experimental
results
and
computational
models
regarding
anisotropic
$\ensuremath{\beta}{\text{-Ga}}_{2}{\text{O}}_{3}$.
Specifically,
are
within
error
bounds
${\ensuremath{\kappa}}_{100}$
${\ensuremath{\kappa}}_{001}$
while
underpredicting
${\ensuremath{\kappa}}_{010}$,
suggesting
that
bare
phonon
used
in
literature
missing
essential
physics
related
transport.
In
response,
we
compute
$\ensuremath{\kappa}$
using
first
principles
Peirels-Boltzmann
transport
equation
under
different
approximations.
For
simplest
model,
consider
heat
carriers
be
harmonic
phonons
with
scattering
rates
obtained
perturbatively.
These
then
compared
those
by
including
renormalization
four-phonon
scattering.
Our
show
accounting
resolves
experiment
theory.
This
because
leads
enhancement
caused
directionally
dependent
changes
group
velocities
accompanied
general
increase
lifetime.
Owing
crucial
role
these
anharmonic
interactions
accurately
describing
transport,
also
explore
anharmonicity
individual
atoms
octahedrally
coordinated
gallium
atom
most
thus
likely
responsible
failure
model
describe
material.
Finally,
demonstrate
atomic
anharmonicities
could
useful
metric
guide
tailoring
vibrational
properties.
Language: Английский
Transport coefficients from equilibrium molecular dynamics
The Journal of Chemical Physics,
Journal Year:
2025,
Volume and Issue:
162(6)
Published: Feb. 13, 2025
The
determination
of
transport
coefficients
through
the
time-honored
Green–Kubo
theory
linear
response
and
equilibrium
molecular
dynamics
requires
significantly
longer
simulation
times
than
those
properties
while
being
further
hindered
by
lack
well-established
data-analysis
techniques
to
evaluate
statistical
accuracy
results.
Leveraging
recent
advances
in
spectral
analysis
current
time
series
associated
with
trajectories,
we
introduce
a
new
method
estimate
full
(diagonal
as
well
off-diagonal)
Onsager
matrix
from
single
model.
This
approach,
based
on
knowledge
distribution
Onsager-matrix
samples
frequency
domain,
unifies
evaluation
diagonal
(conductivities
viscosities)
off-diagonal
(e.g.,
thermoelectric)
within
comprehensive
framework,
improving
reliability
coefficient
estimation
for
materials
ranging
molten
salts
solid-state
electrolytes.
We
validate
this
against
existing
approaches
using
benchmark
data
cesium
fluoride
liquid
water
conclude
our
presentation
computation
various
Li3PS4
electrolyte.
Language: Английский