Advanced Materials,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Dec. 20, 2024
Abstract
Recently,
metal‐based
atomically
thin
materials
(M‐ATMs)
have
experienced
rapid
development
due
to
their
large
specific
surface
areas,
abundant
electrochemically
accessible
sites,
attractive
chemistry,
and
strong
in‐plane
chemical
bonds.
These
characteristics
make
them
highly
desirable
for
energy‐related
conversion
reactions.
However,
the
insufficient
active
sites
slow
reaction
kinetics
leading
unsatisfactory
electrocatalytic
performance
limited
commercial
application.
To
address
these
issues,
defect
engineering
of
M‐ATMs
has
emerged
increase
modify
electronic
structure,
enhance
catalytic
reactivity
stability.
This
review
provides
a
comprehensive
summary
strategies
M‐ATM
nanostructures,
including
vacancy
creation,
heteroatom
doping,
amorphous
phase/grain
boundary
generation,
heterointerface
construction.
Introducing
recent
advancements
in
application
electrochemical
small
molecule
reactions
(e.g.,
hydrogen,
oxygen,
carbon
dioxide,
nitrogen,
sulfur),
which
can
contribute
circular
economy
by
recycling
molecules
like
H
2
,
O
CO
N
S.
Furthermore,
crucial
link
between
reconstruction
atomic‐level
structure
activity
via
analyzing
dynamic
evolution
during
process
is
established.
The
also
outlines
challenges
prospects
associated
with
M‐ATM‐based
catalysts
inspire
further
research
efforts
developing
high‐performance
M‐ATMs.
Machine
learning
(ML),
as
an
advanced
data
analysis
tool,
simulates
the
process
of
human
brain,
enabling
extraction
features,
discovery
patterns,
and
making
accurate
predictions
or
decisions
from
complex
data.
In
field
nanomaterial
design,
application
ML
technology
not
only
accelerates
performance
optimization
nanomaterials
but
also
promotes
innovation
materials
science
research
methods.
Bibliometrics,
a
method
based
on
quantitative
analysis,
provides
us
with
macro
perspective
to
observe
understand
in
design
by
statistically
analyzing
various
indicators
scientific
literature.
This
paper
quantitatively
analyzes
literature
related
ML-driven
seven
dimensions,
revealing
importance
necessity
design.
It
systematically
diversified
applications
combination
suitable
algorithms
being
key
enhancing
nanomaterials.
addition,
this
discusses
current
challenges
future
development
directions,
including
quality
set
construction,
algorithm
optimization,
deepening
interdisciplinary
cooperation.
review
researchers
state
trends
ideas
suggestions
for
research.
is
significant
value
promoting
progress
fostering
in-depth
research,
accelerating
innovative
material
technologies.
Journal of Materials Chemistry A,
Journal Year:
2024,
Volume and Issue:
12(32), P. 20838 - 20867
Published: Jan. 1, 2024
This
article
reviews
the
different
applications
of
ZnO-based
heterojunction
photocatalysts
and
discusses
strategies
for
improving
their
photocatalytic
performance.
Small,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Jan. 20, 2025
Abstract
Designing
cost‐effective
electrocatalysts
with
fast
reaction
kinetics
and
high
stability
is
an
outstanding
challenge
in
green
hydrogen
generation
through
overall
water
splitting
(OWS).
Layered
double
hydroxide
(LDH)
heterostructure
materials
are
promising
candidates
to
catalyze
both
oxygen
evolution
(OER)
(HER),
the
two
OWS
half‐cell
reactions.
This
work
develops
a
facile
hydrothermal
route
synthesiz
hierarchical
MoS
2
@NiFeCo‐LDH
@NiFeCo‐Mo(doped)‐LDH
electrocatalysts,
which
exhibit
extremely
good
OER
HER
performance
as
witnessed
by
their
low
IR‐corrected
overpotentials
of
156
61
mV
at
current
density
10
mA
cm
−2
under
light
assistance.
The
@NiFeCo‐Mo(doped)‐LDH‐MoS
cell
achieves
voltage
1.46V
during
light‐assisted
electrolysis.
Both
exhibited
exceptional
industrially
relevant
conditions,
maintaining
1
A
minimal
alterations
potential
performance.
experimental
computational
results
demonstrate
that
doping
LDH
matrix
high‐valence
Mo
atoms
quantum
dots
improves
electrocatalytic
activity
1)
enhancing
electron
transfer,
2)
making
electrocatalyst
metallic,
3)
increasing
number
active
sites,
4)
lowering
thermodynamic
overpotential,
5)
changing
mechanism.
Overall,
this
synthesis
method
design
highly
stable
electrocatalysts.
Catalysts,
Journal Year:
2025,
Volume and Issue:
15(3), P. 211 - 211
Published: Feb. 22, 2025
Designing
efficient
and
cost-effective
electrocatalysts
is
crucial
for
the
large-scale
development
of
sustainable
hydrogen
energy.
Amorphous
catalysts
hold
great
promise
application
due
to
their
structural
flexibility
high
exposure
active
sites.
We
report
a
novel
method
in
situ
growth
amorphous
CoNiRuOx
nanoparticle
structures
(CoNiRuOx/NF)
on
nickel
foam
substrate.
In
1
m
KOH,
CoNiRuOx/NF
achieves
current
density
10
mA/cm2
with
evolution
reaction
(HER)
overpotential
only
43
mV
remains
stable
over
100
h
at
mA/cm2.
An
alkaline
electrolyzer
assembled
as
cathode
delivers
2.97
times
higher
than
that
an
IrO2||Pt/C
electrode
pair
potential
2
V
exhibits
excellent
long-term
durability
exceeding
h.
Experimental
results
reveal
combined
replacement
corrosion
reactions
facilitate
formation
structure.
This
work
provides
valuable
insights
developing
scalable
catalysts.
Nano Letters,
Journal Year:
2025,
Volume and Issue:
unknown
Published: April 13, 2025
Nitrogen
(N2)
activation
and
the
hydrogen
evolution
reaction
pose
significant
limitations
on
electrocatalytic
nitrogen
reduction
(NRR)
performance.
The
exclusive
electronic
structure
of
main
group
elements
has
advantage
inhibiting
generation
in
electrochemical
NRR.
However,
poor
conductivity
activity
remain
obstacles
to
its
application.
Herein,
we
report
a
combination
strategy
cation-induced
amorphous
Ga2O3
nanofibers
heterostructure
engineering,
thereby
effectively
enhancing
amorphization
generates
more
oxygen
vacancies
that
enhance
N2
electron
transfer
ability.
Additionally,
by
constructing
heterogeneous
structures
drive
charge
transfer,
enrich
electronics
surface
a-Ga2O3
increase
their
catalytic
activity.
Thus,
a-Ga2O3/MXene
deliver
NH3
yield
50.00
μg
h-1
mg-1
FE
19.13%
at
-0.35
V.
We
anticipate
these
findings
will
offer
new
reference
value
for
further
ammonia
synthesis
research
materials.
