SusMat,
Год журнала:
2023,
Номер
3(6), С. 730 - 748
Опубликована: Ноя. 15, 2023
Abstract
Two‐dimensional
(2D)
high‐entropy
alloys
(HEAs)
have
emerged
as
promising
electrocatalysts
due
to
the
benefits
of
polymetallic
coordination
and
robust
electrical
conductivity.
However,
multiple
elements
in
2D
HEAs
pose
challenges
achieving
a
uniform
composition
maintaining
limit
morphology,
complicating
their
structural
characterization.
Furthermore,
even
minor
adjustments
can
significantly
alter
properties
HEAs,
underscoring
need
for
deeper
understanding
structure–property
relationships
advance
synthesis
application.
Therefore,
this
review
critically
examines
intrinsic
factors
influencing
methods
practical
applications
electrocatalysis
sustainable
energy
conversion.
The
urgency
is
emphasized
developing
new
techniques,
enhancing
advanced
characterization
methods,
gaining
profound
insights
into
functional
mechanisms
HEAs.
Journal of Energy Chemistry,
Год журнала:
2023,
Номер
88, С. 232 - 241
Опубликована: Сен. 27, 2023
The
incorporation
of
partial
A-site
substitution
in
perovskite
oxides
represents
a
promising
strategy
for
precisely
controlling
the
electronic
configuration
and
enhancing
its
intrinsic
catalytic
activity.
Conventional
methods
typically
involve
prolonged
high-temperature
processes.
While
these
processes
promote
development
unique
nanostructures
with
highly
exposed
active
sites,
they
often
result
uncontrolled
introduced
elements.
Herein,
we
present
novel
approach
synthesizing
two-dimensional
(2D)
porous
GdFeO3
strontium
(Sr)
utilizing
microwave
shock
method.
This
technique
enables
precise
control
Sr
content
simultaneous
construction
2D
structures
one
step,
capitalizing
on
advantages
rapid
heating
cooling
(temperature
∼1100K,
rate
∼70
K
s−1).
sites
this
oxygen-rich
defect
structure
can
be
clearly
revealed
through
simulation
comprehensive
analysis
crystal
structure.
For
electrocatalytic
oxygen
evolution
reaction
application,
synthesized
Gd0.8Sr0.2FeO3
electrocatalyst
exhibits
an
exceptional
overpotential
294
mV
at
current
density
10
mA
cm−2
small
Tafel
slope
55.85
dec−1
alkaline
electrolytes.
study
offers
fresh
perspective
designing
configurations
perovskite.
Energy & Fuels,
Год журнала:
2024,
Номер
38(8), С. 6659 - 6678
Опубликована: Апрель 2, 2024
Equimolar
or
nearly
molar
mixtures
of
five
more
metals
are
used
to
create
high-entropy
oxides
(HEOs).
HEOs
also
possess
the
kinetic
slow
diffusion
effect,
structural
lattice
distortion,
thermodynamic
and
cocktail
effect.
Consequently,
a
growing
number
scientists
investigating
oxides.
High
active
site
density,
low
overpotential,
entropic
stabilization
effects
main
reasons
why
now
show
good
electrocatalytic
oxygen
evolution
reaction.
However,
complexity
elemental
composition,
organization,
surface
morphology
limits
use
HEOs.
The
development
mechanisms
behind
OER
reviewed
in
this
work,
along
with
description
response
pathways
evaluation
standards.
performance
diverse
organizational
structures
is
research
because
come
variety
kinds.
Additionally,
when
utilized
as
carriers,
trend
examined.
Lastly,
potential
future
problems
opportunities
for
HEO
electrocatalysts
discussed.
Advanced Functional Materials,
Год журнала:
2024,
Номер
34(40)
Опубликована: Апрель 25, 2024
Abstract
Reversible
solid
oxide
cell
is
a
promising
energy
storage
and
conversion
device
for
CO
2
‐CO
mutual
conversion,
with
simplified
configuration
performance
stability.
One
key
technical
challenge
the
lack
of
catalytically
active
carbon‐tolerant
fuel
electrodes.
The
other
one
still
kinetics
mechanism
redox
stability
interface.
Herein,
findings
electrode
composed
Sr
Fe
1.0
Co
0.2
Ni
Cu
Mo
0.4
O
6‐δ
medium‐entropy
perovskite
matrix
decorated
in
situ
exsolved
Fe‐Co‐Ni‐Cu
quaternary
alloy
nanoparticles
(QA@SFO)
are
reported.
Under
reducing
atmosphere,
exsolution
accompanied
by
structural
transformation
from
double
to
layered
perovskite,
forming
an
interface
structure
where
strongly
pinned
substrate
abundant
oxygen
vacancies.
Electrochemically,
highly
sites
provided
QA@SFO
greatly
enhance
exhibit
outstanding
durability
over
300
h
at
1.3
V
800
°C.
Moreover,
first‐principles
calculations
ab
initio
molecular
dynamics
simulations
atomic
scale
further
elucidate
impressive
electrocatalytic
activity
reveal
that
activity,
strong
binding
parent
improves
interfacial
ACS Energy Letters,
Год журнала:
2024,
Номер
9(8), С. 3694 - 3718
Опубликована: Июль 5, 2024
High-entropy
materials
(HEMs)
are
typically
crystalline,
phase-pure
and
configurationally
disordered
that
contain
at
least
five
elements
evenly
blended
into
a
solid-solution
framework.
The
discovery
of
high-entropy
alloys
(HEAs)
oxides
(HEOs)
disrupted
traditional
notions
in
science,
providing
avenues
for
the
exploration
new
materials,
property
optimization,
pursuit
advanced
applications.
While
there
has
been
significant
research
on
HEAs,
creative
breakthroughs
HEOs
still
being
revealed.
This
focus
review
aims
developing
structured
framework
expressing
concept
HEM,
with
special
emphasis
crystal
structure
functional
properties
HEOs.
Insights
recent
synthetic
advances,
foster
prospective
outcomes
their
current
applications
electrocatalysis,
battery,
comprehensively
discussed.
Further,
it
sheds
light
existing
constraints
HEOs,
highlights
adoption
theoretical
experimental
tools
to
tackle
challenges,
while
delineates
potential
directions
energy
application.
ACS Catalysis,
Год журнала:
2024,
Номер
14(9), С. 6936 - 6944
Опубликована: Апрель 18, 2024
The
oxygen
evolution
reaction
(OER)
is
key
for
the
transition
to
a
hydrogen-based
energy
economy.
observed
activity
of
OER
catalysts
arises
from
combined
effects
surface
area,
intrinsic
activity,
and
stability.
Therefore,
alloys
provide
an
effective
platform
search
that
balance
these
factors.
In
particular,
high-entropy
oxides
vast
material
composition
space
could
contain
with
optimal
performance.
this
work,
performance
AuIrOsPdPtReRhRu
was
modeled
using
experimentally
obtained
dataset
350
nanoparticles.
This
machine-learned
model
based
on
experimental
data
found
catalyst
be
mixture
AuIrOsPdRu.
However,
as
"black-box
model",
it
cannot
explain
underlying
chemistry.
density
functional
theory
(DFT)
calculations
were
performed
complementary
theoretical
defined
assumptions
and,
hence,
physical
interpretation
through
comparison
model.
DFT
suggest
majority
originates
Ru
Ir
active
sites
addition
Pd
improves
sites.
calculation
did
not
find
beneficial
Au
Os.
we
hypothesize
Os
contributed
tested
by
roughening
surface,
whereas
fulfilled
role
structural
support.
Overall,
demonstrated
how
machine
learning
can
help
accelerate
discovery,
combining
models
important
insights
into
complex
chemistry
catalysts.
Materials Futures,
Год журнала:
2024,
Номер
3(4), С. 042103 - 042103
Опубликована: Окт. 8, 2024
Abstract
High-entropy
oxides
(HEOs),
with
their
multi-principal-element
compositional
diversity,
have
emerged
as
promising
candidates
in
the
realm
of
energy
materials.
This
review
encapsulates
progress
harnessing
HEOs
for
conversion
and
storage
applications,
encompassing
solar
cells,
electrocatalysis,
photocatalysis,
lithium-ion
batteries,
solid
oxide
fuel
cells.
The
critical
role
theoretical
calculations
simulations
is
underscored,
highlighting
contribution
to
elucidating
material
stability,
deciphering
structure-activity
relationships,
enabling
performance
optimization.
These
computational
tools
been
instrumental
multi-scale
modeling,
high-throughput
screening,
integrating
artificial
intelligence
design.
Despite
promise,
challenges
such
fabrication
complexity,
cost,
hurdles
impede
broad
application
HEOs.
To
address
these,
this
delineates
future
research
perspectives.
include
innovation
cost-effective
synthesis
strategies,
employment
situ
characterization
micro-chemical
insights,
exploration
unique
physical
phenomena
refine
performance,
enhancement
models
precise
structure-performance
predictions.
calls
interdisciplinary
synergy,
fostering
a
collaborative
approach
between
materials
science,
chemistry,
physics,
related
disciplines.
Collectively,
these
efforts
are
poised
propel
towards
commercial
viability
new
technologies,
heralding
innovative
solutions
pressing
environmental
challenges.
