Chemical Society Reviews,
Год журнала:
2024,
Номер
unknown
Опубликована: Янв. 1, 2024
This
review
explores
machine
learning's
impact
on
designing
electrocatalysts
for
hydrogen
energy,
detailing
how
it
transcends
traditional
methods
by
utilizing
experimental
and
computational
data
to
enhance
electrocatalyst
efficiency
discovery.
Advanced Materials,
Год журнала:
2023,
Номер
35(42)
Опубликована: Май 18, 2023
Atomically
dispersed
transition
metal-nitrogen/carbon
(M-N/C)
catalysts
have
emerged
as
the
most
promising
substitutes
to
precious
platinum
counterparts
toward
oxygen
reduction
reaction
(ORR).
However,
reported
M-N/C
are
usually
in
form
of
common
M-N4
moieties
with
only
a
single
metal
active
site,
and
they
suffer
from
insufficient
activity.
Herein,
an
unusual
trinuclear
structure
is
elaborately
developed
nitrogen-coordinated
Mn
atom
adjacent
two
Co
atoms
(Co2
MnN8
)
anchored
N-doped
carbon
highly
efficient
ORR
catalyst
via
adsorption-pyrolysis
bimetallic
zeolitic
imidazolate
framework
precursor.
Atomic
structural
investigations
density
functional
theory
(DFT)
calculations
reveal
that
Co2
would
experience
spontaneous
OH
binding
-2OH
real
leading
electron-filled
state
dz2${\mathrm{d}}_{{z}^{2}}$
orbital
optimized
energy
intermediates.
Accordingly,
as-developed
/C
exhibits
unprecedented
activity
high
half-wave
potential
0.912
V
outstanding
stability,
not
surpassing
Pt/C
but
also
representing
new
record
for
Co-based
catalyst.
Journal of the American Chemical Society,
Год журнала:
2024,
Номер
146(32), С. 22650 - 22660
Опубликована: Июль 30, 2024
Iron-nitrogen-carbon
(Fe-N-C)
catalysts,
although
the
most
active
platinum-free
option
for
cathodic
oxygen
reduction
reaction
(ORR),
suffer
from
poor
durability
due
to
Fe
leaching
and
consequent
Fenton
effect,
limiting
their
practical
application
in
low-temperature
fuel
cells.
This
work
demonstrates
an
integrated
catalyst
of
a
platinum-iron
(PtFe)
alloy
planted
Fe-N-C
matrix
(PtFe/Fe-N-C)
address
this
challenge.
novel
exhibits
both
high-efficiency
activity
stability,
as
evidenced
by
its
impressive
half-wave
potential
(
Advanced Functional Materials,
Год журнала:
2024,
Номер
34(36)
Опубликована: Март 18, 2024
Abstract
Recently,
a
diverse
array
of
novel
metal‐nitrogen‐carbon
(M‐N‐C)
single‐atom
catalysts
(SACs)
have
rapidly
evolve,
particularly
in
the
realm
oxygen
reduction
reaction
(ORR).
Despite
plethora
proposed
design
and
improvement
strategies
for
SACs,
comprehensive
review
systematically
compiling
components
M‐N‐C
from
unified
perspective
is
notably
absent.
For
first
time,
thorough
examination
each
component
conducted,
focusing
on
entropy
increase
active
sites
SACs.
single
M‐N
4
whole
system,
an
implies
elevated
degree
disorder
chaos.
Broadly,
entropy‐increasing
modification
M
(single
mental
sites)
guest
groups
entails
augmentation
chaos,
with
most
effective
co‐catalytic
synergy
achieved
by
establishing
multiple
through
“cocktail
effect”.
Concerning
N
(nitrogen
other
heteroatoms)
C
(carbon
supports),
induces
heightened
disorder,
symmetry
breaking
more
likely
to
drive
toward
adsorbing
molecules
attain
equilibrium
symmetric
structure.
All
these
innovative
led
remarkable
ORR
activity
stability
offer
guiding
criterion
future
preparation
ACS Nano,
Год журнала:
2024,
Номер
18(18), С. 11598 - 11630
Опубликована: Апрель 26, 2024
The
membrane
electrode
assembly
(MEA)
is
the
core
component
of
proton
exchange
fuel
cells
(PEMFCs),
which
place
where
reaction
occurrence,
multiphase
material
transfer
and
energy
conversion,
development
MEA
with
high
activity
long
stability
are
crucial
for
practical
application
PEMFCs.
Currently,
efforts
devoted
to
developing
regulation
nanostructure
engineering,
believed
have
advantages
in
improving
catalyst
utilization,
maximizing
three-phase
boundaries,
enhancing
mass
transport,
operational
stability.
This
work
reviews
recent
research
progress
on
platinum
group
metal
(PGM)
PGM-free
catalysts
multidimensional
nanostructures,
layers
(CLs),
nano-MEAs
PEMFCs,
emphasizing
importance
structure-function
relationships,
aiming
guide
further
performance
Then
design
strategy
interface
summarized
systematically.
In
addition,
situ
characterization
techniques
adequately
identify
current
density
distributions,
hot
spots,
water
management
visualization
MEAs
also
discussed.
Finally,
limitations
nanostructured
discussed
future
promising
directions
proposed.
paper
aims
provide
valuable
insights
into
fundamental
science
technical
engineering
efficient
interfaces
Chemical Society Reviews,
Год журнала:
2024,
Номер
unknown
Опубликована: Янв. 1, 2024
This
review
explores
machine
learning's
impact
on
designing
electrocatalysts
for
hydrogen
energy,
detailing
how
it
transcends
traditional
methods
by
utilizing
experimental
and
computational
data
to
enhance
electrocatalyst
efficiency
discovery.