Abstract
High‐entropy
alloys
(HEAs)
have
emerged
as
promising
electrocatalysts
for
water
splitting;
however,
their
conventional
synthesis
often
requires
high
temperatures
and
extreme
conditions,
limiting
scalability
practical
application.
In
this
study,
we
report
a
facile
one‐step
hydrothermal
method
combined
with
low‐temperature
reduction
approach
to
synthesize
Ni‐based
HEAs
(NiCoFeMoRu).
During
the
oxygen
evolution
reaction
(OER),
catalyst
undergoes
an
in‐situ
reconstruction,
forming
amorphous
phase
interspersed
among
crystalline
metal
oxide
nanoparticles.
This
structural
transformation
significantly
enhances
catalytic
performance,
achieving
overpotential
of
217
mV
at
10
mA
cm
−2
357
1000
maintaining
stability
over
300
h.
Furthermore,
two‐electrode
electrolyzer
employing
NiCoFeMoRu
bifunctional
electrodes
demonstrates
cell
voltage
1.68
V
2.47
in
1
M
KOH
electrolyte,
highlighting
its
efficiency
overall
splitting.
The
phase,
induced
by
Ru
Mo
evolution,
not
only
improves
activity
but
also
reinforces
integrity
facilitating
self‐regulation
mitigating
degradation.
work
presents
viable
strategy
designing
cost‐effective,
HEA
electrocatalysts,
offering
pathway
toward
scalable
sustainable
hydrogen
production.
Catalysts,
Год журнала:
2024,
Номер
14(10), С. 689 - 689
Опубликована: Окт. 3, 2024
Two-dimensional
transition
metal
dichalcogenides
(TMDs),
also
known
as
MX2,
have
attracted
considerable
attention
due
to
their
structure
analogous
graphene
and
unique
properties.
With
superior
electronic
characteristics,
tunable
bandgaps,
an
ultra-thin
two-dimensional
structure,
they
are
positioned
significant
contenders
in
advancing
electrocatalytic
technologies.
This
article
provides
a
comprehensive
review
of
the
research
progress
TMDs
field
water
splitting.
Based
on
fundamental
properties
principles
electrocatalysis,
strategies
enhance
performance
through
layer
control,
doping,
interface
engineering
discussed
detail.
Specifically,
this
delves
into
basic
properties,
reaction
mechanisms,
measures
improve
catalytic
splitting,
including
creation
more
active
sites,
phase
engineering,
construction
heterojunctions.
Research
these
areas
can
provide
deeper
understanding
guidance
for
application
thereby
promoting
development
related
technologies
contributing
solution
energy
environmental
problems.
hold
great
potential
future
needs
further
explore
develop
new
TMD
materials,
optimize
catalysts
achieve
efficient
sustainable
conversion.
Additionally,
it
is
crucial
investigate
stability
durability
during
long-term
reactions
longevity.
Interdisciplinary
cooperation
will
bring
opportunities
research,
integrating
advantages
different
fields
from
practical
application.
Advanced Energy and Sustainability Research,
Год журнала:
2025,
Номер
unknown
Опубликована: Фев. 16, 2025
The
sluggish
kinetics
of
oxygen‐involved
electrolysis,
such
as
oxygen
evolution
reaction
(OER)
and
reduction
(ORR),
hinders
the
efficiency
pertaining
energy
conversion
process,
which
can
be
promoted
by
using
spin‐selective
materials
to
align
spin
direction
intermediates.
This
review
delivers
a
thorough
timely
overview
state‐of‐the‐art
catalysts
for
OER
ORR.
Primarily,
fundamental
principle
process
is
depicted
spin‐sensitive
pathways,
pointing
out
that
existence
spin‐polarized
adsorption
sites
necessary
development
catalysts.
Subsequently,
approaches
investigating
spin‐related
transition
during
electrocatalysis
are
introduced
reviewing
in
situ
technologies
theoretical
calculations.
Then,
reported
categorized
into
intrinsic
materials,
doping‐induced
multiple
magnetic
composites
discuss
their
application
electrocatalytic
ORR
well
mechanism
polarization.
Finally,
open
questions
prospects
this
field
concluded,
aiming
offer
clear
route
designing
novel
highly‐efficient
industrial
electrocatalysis.
Abstract
The
vast
compositional
space
of
multi‐principal
element
nanoparticles
(MPENs),
along
with
their
unique
properties
and
diverse
applications,
has
garnered
significant
attention
from
the
research
community.
MPENs
exhibit
properties,
high
configurational
entropy,
multi‐element
synergy,
long‐range
atomic
ordering,
featuring
distinct
sublattices
semi‐metallic
or
metallic
components.
This
review
reports
recent
approaches
described
in
literature,
highlighting
commonalities
differences,
classifies
them
into
general
strategies.
report
discusses
detail
synthesis
single‐phase
MPENs.
To
integrate
experimental
validation
computational
preselection,
machine
learning
(ML)
offers
opportunity
to
establish
relationships
between
lattice
structures,
phase
formations
how
collect
analysis
data.
Additionally,
challenges
such
as
ML‐guided
uncertainty
quantification
materials
design
are
explored.
