Langmuir,
Год журнала:
2024,
Номер
40(28), С. 14355 - 14367
Опубликована: Июль 4, 2024
The
creation
of
ordered
collective
vacancies
in
experiment
proves
challenging
within
a
two-dimensional
lattice,
resulting
limited
understanding
their
impact
on
catalyst
performance.
Motivated
by
the
successful
experimental
synthesis
monolayer
molybdenum
borides
with
precisely
metal
[Zhou
et
al.
Coordination Chemistry Reviews,
Год журнала:
2024,
Номер
503, С. 215653 - 215653
Опубликована: Янв. 9, 2024
Carbon
nitride
(CxNy)
materials,
characterized
by
an
ordered
two-dimensional
without
metal
ions
structure
high
N:C
ratio,
phase
transition
transformation,
predispose
them
for
promising
applications
in
catalytic
reaction,
flexible
electronics,
broadband
photodetectors
and
battery.
However,
up
to
now,
its
potential
advantages
gas
sensor
have
yet
be
fully
explored.
This
review
provides
a
comprehensive
overview
of
recent
advances
CxNy-based
materials
applied
as
substrates
covering
structure,
properties,
synthesis
methods,
enhancement
strategies.
A
rigorous
assessment
their
sensing
capabilities,
including
sensitivity,
selectivity,
stability
was
critically
summarized.
Additionally,
the
molecule-level
mechanistic
aspects
underlying
gas-sensing
working
principles
insights
into
functional
properties
were
discussed.
Furthermore,
thorough
investigations
utilizing
density
theory
(DFT)
studies,
aimed
illuminating
fundamental
governing
behavior
presented
detail.
Finally,
futuristic
along
with
challenges
CxNy
deliberated
herein.
Chemical Society Reviews,
Год журнала:
2024,
Номер
53(14), С. 7392 - 7425
Опубликована: Янв. 1, 2024
Descriptors
play
a
crucial
role
in
electrocatalysis
as
they
can
provide
valuable
insights
into
the
electrochemical
performance
of
energy
conversion
and
storage
processes.
They
allow
for
understanding
different
catalytic
activities
enable
prediction
better
catalysts
without
relying
on
time-consuming
trial-and-error
approaches.
Hence,
this
comprehensive
review
focuses
highlighting
significant
advancements
commonly
used
descriptors
critical
electrocatalytic
reactions.
First,
fundamental
reaction
processes
key
intermediates
involved
several
reactions
are
summarized.
Subsequently,
three
types
classified
introduced
based
catalysts.
These
include
d-band
center
descriptors,
readily
accessible
intrinsic
property
spin-related
all
which
contribute
to
profound
behavior.
Furthermore,
multi-type
that
collectively
determine
also
Finally,
we
discuss
future
envisioning
their
potential
integrate
multiple
factors,
broaden
application
scopes,
synergize
with
artificial
intelligence
more
efficient
catalyst
design
discovery.
Advanced Functional Materials,
Год журнала:
2024,
Номер
34(34)
Опубликована: Апрель 25, 2024
Abstract
The
rapid
advancement
of
high‐performance
computing
and
artificial
intelligence
technology
has
opened
up
novel
avenues
for
the
development
various
metal
electrocatalysts.
In
particular,
dilute
high‐entropy
alloys
have
garnered
significant
attention
owing
to
their
unique
electronic
spatial
structures,
as
well
exceptional
electrocatalytic
performance.
Commencing
with
exploration
single‐atom
alloy
catalysts,
latest
advancements
in
machine
learning
(ML)
techniques
are
presented
efficient
screening
a
broad
spectrum
spaces.
Subsequently,
review
delves
into
prevailing
trend
research,
focusing
specifically
on
rare‐metal
electrocatalysts,
offers
an
overview
progress
outcomes
achieved
through
application
ML
these
domains.
Finally,
highlighted
promising
category
electrocatalysts
underscore
importance
potential
applications
addressing
complex
challenging
research
issues
underscored.