The Innovation Materials,
Journal Year:
2024,
Volume and Issue:
unknown, P. 100086 - 100086
Published: Jan. 1, 2024
<p>In
2005,
Science
magazine
listed
the
��nature
of
a
glassy
substance��
as
one
125
most
challenging
scientific
questions
century.
A
quantitative
understanding
time-temperature
transition
(TTT)
curve
for
critical
nucleation
amorphous
materials
is
crucial
to
answering
this
question.
Despite
extensive
efforts
over
past
70
years,
model
TTT
remains
elusive
due
lack
physical
properties
such
interfacial
energy
at
incubation
time
<i>t</i><sup>*</sup>
nucleation.
In
study,
relationship
between
viscosity
and
function
established
developed.
The
demonstrates
excellent
agreement
with
experimental
data
various
materials.
Most
importantly,
it
allows
accurate
definitive
determination
<i>T</i><sub>0</sub>,
true
minimum
crystallization
temperature
lower
end-point
curve,
well
below
which
liquid-to-solid
state
occurs.
This
offers
an
unambiguous
answer
nature
substances:
Above
liquid
constant
structure
relaxation;
solid
stable
structure.</p>
We
propose
an
analytical
thermodynamic
model
for
describing
defect
phase
transformations,
which
we
term
the
statistical
evaluation
approach
(SPEA).
The
SPEA
assumes
a
Boltzmann
distribution
of
finite-size
fractions
and
calculates
their
average.
To
benchmark
performance
model,
apply
it
to
construct
binary
surface
diagrams
metal
alloys.
Two
alloy
systems
are
considered:
Mg
with
Ca
substitutions
Ni
Nb
substitutions.
firm
basis
against
can
be
leveled,
first
perform
Monte
Carlo
(MC)
simulations
coupled
cluster
expansion
density
functional
theory
dataset.
then
demonstrate
that
reproduces
MC
results
accurately.
Specifically,
correctly
predicts
order-disorder
transitions
as
well
coexistence
1/3
ordered
disordered
phase.
Finally,
compare
method
sublattice
commonly
used
in
CALPHAD
describe
random
solution
phases
transitions.
proposed
provides
highly
efficient
modeling
transformations.
Published
by
American
Physical
Society
2025
Entropy,
Journal Year:
2025,
Volume and Issue:
27(3), P. 314 - 314
Published: March 18, 2025
This
study
examines
the
thermal
conduction
resistance
in
anisotropic
bodies
using
linear
extended
irreversible
thermodynamics.
The
fulfilment
of
Onsager
Reciprocal
Relations
bodies,
such
as
crystals,
has
been
demonstrated.
is
achieved
by
incorporating
Newton’s
heat
transfer
coefficients
into
calculation
entropy
production
rate.
Furthermore,
a
basic
principle
for
transport
heat,
similar
to
Onsager–Fuoss
formalism
multicomponent
diffusion
at
constant
temperature,
was
established.
work
potential
be
applied
not
just
field
material
science,
but
also
enhance
our
understanding
crystals.
A
novel
analogous
model
developed.
It
believed
that
this
could
educational
purposes.
ACS Energy Letters,
Journal Year:
2024,
Volume and Issue:
9(6), P. 2902 - 2911
Published: May 22, 2024
Materials
synthesis
is
a
critical
step
in
the
development
of
energy
storage
technologies,
from
first
newly
predicted
materials
to
optimization
key
properties
for
established
materials.
While
solid-state
has
traditionally
relied
on
intuition-driven
trial-and-error,
computational
approaches
are
now
emerging
accelerate
identification
improved
recipes.
In
this
Perspective,
we
explore
these
techniques
and
focus
their
ability
guide
precursor
selection
synthesis.
The
applicability
each
method
discussed
context
batteries,
including
Li-ion
cathodes
solid
electrolytes
all-solid-state
batteries.
Our
analysis
showcases
effectiveness
methods
while
also
highlighting
limitations.
Based
findings,
provide
an
outlook
future
developments
that
can
address
existing
limitations
make
progress
toward
synthesis-by-design
battery
The
former
approaches
for
financial
risk
mitigation
are
warranted
to
be
revamped,
as
they
no
longer
effective.
Nevertheless,
the
continuous
advancement
in
fintech
has
developed
artificial
intelligence
(AI),
whose
powered
techniques
considered
most
effective
identify
and
mitigate
risk.
Visibly,
sector
a
whole
is
drastically
altered
by
intelligence,
which
gives
rise
several
procedures
probable
risks.
In
this
context,
chapter
presents
AI-based
detection
process,
involves
main
steps
used
detect
then
classify
its
types.
Likewise,
established
ongoing
intelligence-based
process
contains
that
lessen
potential
Also,
strategies
dissimilar
sorts
of
risks
discussed
great
detail
chapter.
Overall,
discusses
how
quickly
modern
technology
provides
benefits
terms
mitigating
As
well,
adopting
identification
procedures,
institutions
can
accurately
evaluate
massive
information
factors,
thus
laying
more
scientific,
accurate,
comprehensive
decision-making
foundation
management.
Journal of Materials Research and Technology,
Journal Year:
2024,
Volume and Issue:
31, P. 1518 - 1534
Published: June 20, 2024
Co-based
superalloys
have
attracted
attention
to
replace
Ni-based
in
high
temperature
structural
applications
because
of
their
higher
melting
and
corrosion
resistance.
Strengthening
is
provided
by
Co3(Al,
X)
(X=
W,
Cr,
Mo,
Ni)
phases
optimization
properties
requires
detailed
information
about
the
free
energies
different
phase
diagram
Co-Al
system.
This
achieved
this
paper
through
first
principles
calculations
combination
with
statistical
mechanics.
Configurational
entropic
contributions
energy
were
included
Monte
Carlo
simulations
using
cluster
expansion
formalism.
The
vibrational
entropy
each
was
determined
length-stiffness
relationship
while
magnetic
also
Heisenberg
Hamiltonian.
computed
compared
currently
accepted
experimental
stability
are
analyzed
independently.
potential
strategy
predict
diagrams
systems
clearly
established.
