EcoEnergy,
Journal Year:
2023,
Volume and Issue:
1(1), P. 154 - 185
Published: Sept. 1, 2023
Abstract
Metal‐nitrogen‐doped
carbon
material
have
sparked
enormous
attentions
as
they
show
excellent
electrocatalytic
performance
and
provide
a
prototype
for
mechanistic
understandings
of
reactions.
Researchers
spare
no
effort
to
find
catalytic
reactivity
“descriptor”,
which
is
correlated
with
catalytical
properties
could
be
utilized
guiding
the
rational
design
high‐performance
catalysts.
In
recent
years,
benefited
from
development
computational
technology,
theoretical
calculation
came
into
being
powerful
tool
understand
mechanisms
an
atomic
level
well
accelerate
process
finding
descriptor
promoting
effective
present
review,
we
latest
research
toward
energetic
electronic
descriptors
metal‐nitrogen‐doped
(M‐N‐C)
materials,
shown
understanding
This
review
uses
density
functional
theory
most
advanced
machine
learning
method
describe
exploration
four
kinds
reaction
descriptors,
namely
oxygen
reduction
reaction,
dioxide
hydrogen
evolution
nitrogen
reaction.
The
aim
this
inspire
future
high‐efficiency
M‐N‐C
catalysts
by
providing
in‐depth
insights
activity
these
materials.
ChemSusChem,
Journal Year:
2024,
Volume and Issue:
17(13)
Published: Feb. 16, 2024
Abstract
Ongoing
research
to
develop
advanced
electrocatalysts
for
the
oxygen
evolution
reaction
(OER)
is
needed
address
demand
efficient
energy
conversion
and
carbon‐free
sources.
In
OER
process,
acidic
electrolytes
have
higher
proton
concentration
faster
response
than
alkaline
ones,
but
their
harsh
strongly
environment
requires
catalysts
with
greater
corrosion
oxidation
resistance.
At
present,
iridium
oxide
(IrO
2
)
its
strong
stability
excellent
catalytic
performance
catalyst
of
choice
anode
side
commercial
PEM
electrolysis
cells.
However,
scarcity
high
cost
(Ir)
unsatisfactory
activity
IrO
hinder
industrial
scale
application
sustainable
development
technology.
This
highlights
importance
further
on
Ir‐based
catalysts.
this
review,
recent
advances
in
are
summarized,
including
fundamental
understanding
mechanism,
insights
into
catalysts,
highly
electrocatalysts,
common
strategies
optimizing
The
future
challenges
prospects
developing
effective
also
discussed.
Advanced Functional Materials,
Journal Year:
2024,
Volume and Issue:
unknown
Published: July 26, 2024
Abstract
The
development
of
efficient
oxygen
evolution
reaction
(OER)
electrocatalysts
is
critical
to
overcome
the
efficiency
bottleneck
in
hydrogen
generation
via
water
electrolysis.
Hollow
nanostructured
materials
have
emerged
as
a
hot
topic
for
electrocatalysis
research
because
their
advantages,
including
abundant
active
sites,
large
contact
area
between
catalyst
and
electrolyte,
short
transmission
path.
As
highly
stable
OER
electrocatalysts,
cobalt‐based
attracted
more
attention.
In
this
work,
cobalt
metal/cobalt
phosphides/nitrogen‐doped
carbon
composites
(Co‐Co
x
P/NC)
with
hierarchical
hollow
structure
are
designed
by
using
ZIF‐67
microspheres
precursors.
By
coating
ZIF‐8
on
surface
further
carbonizing,
nanowhiskers
successfully
formed
spheres
under
catalytic
effect
Co
nanoparticles
at
high
temperature.
subsequent
phosphating
process,
solid
nanocrystalline
particles
transformed
into
core–shell
CoP
2
P
account
Kirkendall
effect.
Through
optimization
microstructure
material
synergistic
transition
metal,
metal
phosphide,
nitrogen
doping,
overpotential
optimal
only
287
mV
10
mA
cm
−2
current
density
1
m
KOH.
Advanced Functional Materials,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Jan. 23, 2025
Abstract
Oxygen
evolution
reaction
(OER)
plays
a
critical
role
in
water
splitting,
which
can
directly
determine
the
energy
consumption
of
hydrogen
production.
However,
poor
stability
catalysts
at
large
current
density
inhibits
their
industrial
application.
Therefore,
development
efficient
with
industry‐relevant
activities
still
faces
great
challenges.
Herein,
one‐step
corrosion
strategy
is
reported
for
preparation
multi‐element
low‐crystal
transition
metal
hydroxide
(denoted
as
NiFeCrMnCo‐c).
Density
functional
theory
calculation
indicates
that
doping
improves
conductivity
catalyst
and
reduces
barrier
catalytic
process.
Only
259
303
mV
overpotentials
are
required
to
achieve
anodic
densities
100
1000
mA
cm
−2
respectively,
it
work
50
300
h
without
apparent
attenuation.
Furthermore,
when
self‐assembled
an
anion
exchange
membrane
electrolyzer,
requires
only
1.72
V
splitting
operates
stably
60
°C,
meet
requirements
The
design
OER
simple
preparation,
high
activity,
provides
new
perspective
practical
splitting.
JACS Au,
Journal Year:
2024,
Volume and Issue:
4(5), P. 1975 - 1985
Published: May 10, 2024
Chemical
looping
ammonia
synthesis
(CLAS)
is
a
promising
technology
for
reducing
the
high
energy
consumption
of
conventional
process.
However,
comprehensive
understanding
reaction
mechanisms
and
rational
design
novel
nitrogen
carriers
has
not
been
achieved
due
to
complexity
catalyst
structures
unrevealed
relationship
between
electronic
structure
intrinsic
activity.
Herein,
we
propose
multistage
strategy
establish
connection
activity
microscopic
fingerprints
using
density
functional
theory
computational
energetics
as
bridges
apply
it
metal
nitride
catalysts
lattice
nitrogen-mediated
production.
Molybdenum-based
with
well-defined
are
employed
prototypes
elucidate
decoupled
effects
geometrical
features.
The
electron-transfer
spin
polarization
characteristics
magnetic
metals
constructed
descriptors
disclose
atomic-scale
causes
Based
on
this
strategy,
demonstrated
that
Ni3Mo3N
possess
highest
This
work
reveals
structure–activity
nitrides
CLAS
provides
perspective
design.
Advanced Materials,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Oct. 23, 2024
Abstract
In
tackling
the
stability
challenge
of
aqueous
Zn‐ion
batteries
(AZIBs)
for
large‐scale
energy
storage,
adoption
electrolyte
additive
emerges
as
a
practical
solution.
Unlike
current
trial‐and‐error
methods
selecting
additives,
data‐driven
strategy
is
proposed
using
theoretically
computed
surface
free
descriptor,
benchmarked
against
experimental
results.
Numerous
additives
are
calculated
from
existing
literature,
forming
database
machine
learning
(ML)
training.
Importantly,
this
ML
model
relies
solely
on
values,
effectively
addressing
large
solvent
molecule
models
that
difficult
to
handle
with
quantum
chemistry
computation.
The
interpretable
linear
regression
algorithm
identifies
number
heavy
atoms
in
and
liquid
tension
key
factors.
Artificial
intelligence
(AI)
clustering
categorizes
molecules,
identifying
regions
most
significant
impact
enhancing
battery
stability.
Experimental
verification
successfully
confirms
exceptional
performance
1,2,3‐butanetriol
acetone
optimal
region.
This
integrated
methodology,
combining
theoretical
models,
ML,
validation,
provides
insights
into
rational
design
additives.
Microstructures,
Journal Year:
2024,
Volume and Issue:
4(2)
Published: April 17, 2024
Amorphous
materials
feature
unique
structures
and
physicochemical
properties,
resulting
in
their
synthesis
applications
becoming
a
dynamic
fascinating
new
research
direction.
The
high
specific
surface
area,
abundant
active
sites,
good
electron
transport
properties
endow
amorphous
with
excellent
electrocatalytic
thus
appealing
to
increasing
attention.
Based
on
this,
the
summary
of
current
status
catalysts
field
electrocatalysis
is
urgent
important.
In
this
review,
progress
systematically
introduced,
focusing
classification,
methods,
modification
strategies,
characterizations,
application
(including
hydrogen
evolution
reaction,
oxygen
reduction
carbon
dioxide
nitrogen
reaction).
Finally,
review
proposes
prospects
challenges
for
future
development
high-active
high-selectivity
electrocatalysts.