Abstract
The
development
of
effective
strategies
to
enhance
the
activity
and
selectivity
Cu‐based
catalysts
for
CO
2
reduction
reaction
(CO
RR)
remains
a
critical
challenge,
particularly
on
relatively
inert
Cu
facets
that
are
highly
active
in
competitive
hydrogen
evolution
(HER).
In
this
study,
series
Cu‐M
(M
=
Au,
Ag,
Pd)
bimetallic
tandem
interfaces
fabricated
nanocolumn
arrays
(Cu
NCAs)
with
predominantly
exposed
(200)
facets.
These
excited
significant
number
+
species
modulated
adsorption
behavior
intermediates
RR,
resulting
improved
RR
substantial
HER.
Notably,
Cu‐Au,
Cu‐Ag,
Cu‐Pd
NCAs
displayed
excellent
C
H
4
,
CO,
HCOOH
products,
optimized
faradaic
efficiency
(FE)
≈43.2,
≈48.0,
≈50.7%,
respectively.
According
situ
spectroscopic
analysis,
each
interface
exhibited
distinct
catalytic
pathways:
Cu‐Au
favored
*COOH
*CO
followed
by
C‐C
coupling
production,
Cu‐Ag
promoted
desorption
generation,
facilitated
*OCHO
formation
production.
This
study
provides
strategy
design
high‐performance
more
practical
electrodes
directly
modifying
various
commercial
substrates.
Nano-Micro Letters,
Год журнала:
2024,
Номер
16(1)
Опубликована: Фев. 29, 2024
Abstract
The
exploration
of
sustainable
energy
utilization
requires
the
implementation
advanced
electrochemical
devices
for
efficient
conversion
and
storage,
which
are
enabled
by
usage
cost-effective,
high-performance
electrocatalysts.
Currently,
heterogeneous
atomically
dispersed
catalysts
considered
as
potential
candidates
a
wide
range
applications.
Compared
to
conventional
catalysts,
metal
atoms
in
carbon-based
have
more
unsaturated
coordination
sites,
quantum
size
effect,
strong
metal–support
interactions,
resulting
exceptional
catalytic
activity.
Of
these,
dual-atomic
(DACs)
attracted
extensive
attention
due
additional
synergistic
effect
between
two
adjacent
atoms.
DACs
advantages
full
active
site
exposure,
high
selectivity,
theoretical
100%
atom
utilization,
ability
break
scaling
relationship
adsorption
free
on
sites.
In
this
review,
we
summarize
recent
research
advancement
DACs,
includes
(1)
comprehensive
understanding
synergy
atomic
pairs;
(2)
synthesis
DACs;
(3)
characterization
methods,
especially
aberration-corrected
scanning
transmission
electron
microscopy
synchrotron
spectroscopy;
(4)
energy-related
last
part
focuses
great
catalysis
small
molecules,
such
oxygen
reduction
reaction,
CO
2
hydrogen
evolution
N
reaction.
future
challenges
opportunities
also
raised
prospective
section.
Energy & Environmental Science,
Год журнала:
2024,
Номер
17(16), С. 5795 - 5818
Опубликована: Янв. 1, 2024
Recent
developments
in
heteroatom-doped
Cu-based
catalysts
for
CO
2
electroreduction
into
C
2+
products
are
highlighted.
The
design
strategies
doped
and
situ
technologies
discussed.
Journal of Materials Chemistry A,
Год журнала:
2024,
Номер
12(13), С. 7528 - 7535
Опубликована: Янв. 1, 2024
Bi(0)
metal
was
utilized
as
a
CO
2
RR
catalyst
to
achieve
enhanced
durability
in
cathodic
applications.
Besides,
the
activity
effectively
improved
by
promising
strategy
of
electronic
structure
modulation
through
Ce
doping.
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.
