AI in single-atom catalysts: a review of design and applications
Journal of Materials Informatics,
Год журнала:
2025,
Номер
5(1)
Опубликована: Фев. 12, 2025
Single-atom
catalysts
(SACs)
have
emerged
as
a
research
frontier
in
catalytic
materials,
distinguished
by
their
unique
atom-level
dispersion,
which
significantly
enhances
activity,
selectivity,
and
stability.
SACs
demonstrate
substantial
promise
electrocatalysis
applications,
such
fuel
cells,
CO2
reduction,
hydrogen
production,
due
to
ability
maximize
utilization
of
active
sites.
However,
the
development
efficient
stable
involves
intricate
design
screening
processes.
In
this
work,
artificial
intelligence
(AI),
particularly
machine
learning
(ML)
neural
networks
(NNs),
offers
powerful
tools
for
accelerating
discovery
optimization
SACs.
This
review
systematically
discusses
application
AI
technologies
through
four
key
stages:
(1)
Density
functional
theory
(DFT)
ab
initio
molecular
dynamics
(AIMD)
simulations:
DFT
AIMD
are
used
investigate
mechanisms,
with
high-throughput
applications
expanding
accessible
datasets;
(2)
Regression
models:
ML
regression
models
identify
features
that
influence
performance,
streamlining
selection
promising
materials;
(3)
NNs:
NNs
expedite
known
structural
models,
facilitating
rapid
assessment
potential;
(4)
Generative
adversarial
(GANs):
GANs
enable
prediction
novel
high-performance
tailored
specific
requirements.
work
provides
comprehensive
overview
current
status
insights
recommendations
future
advancements
field.
Язык: Английский
Theoretical Prediction of MXene-based Single-atom Catalysts M-Ti<sub>2</sub>CO<sub>2</sub> (M=Cu, Fe, Co, Ni) Applied in the Electroreduction of CO<sub>2</sub> for Methanol Production
Journal of Fuel Chemistry and Technology,
Год журнала:
2025,
Номер
unknown
Опубликована: Фев. 1, 2025
Язык: Английский
Engineering TM–N2@C15N5S3H5-Based Covalent-Organic Frameworks for Enhanced Water-Splitting and Oxygen Reduction Reactions: A Constant Potential and Feature Coevaluation Approach
Yajuan Feng,
Xihang Zhang,
Renxian Qin
и другие.
Langmuir,
Год журнала:
2025,
Номер
unknown
Опубликована: Март 11, 2025
The
development
of
highly
active
metal-based
single-atom
catalysts
(SACs)
is
crucial
for
energy
conversion
and
storage,
offering
optimized
atom
utilization
high
catalytic
activity,
with
bifunctional
SACs
hydrogen
evolution
(HER)
oxygen
evolution/reduction
(OER/ORR)
reactions
providing
greater
efficiency
cost-effectiveness
than
monofunctional
catalysts,
making
them
scientifically
economically
valuable.
By
integrating
density
functional
theory
machine
learning
methods,
we
systematically
evaluated
the
potential
TM–N2@C15N5S3H5
monolayers
as
efficient
HER/OER/ORR
revealing
that
27
TM
atoms
remain
stable
on
N2@C15N5S3H5
a
TM–N2
coordination
environment.
Rh–N2@C15N5S3H5
outperforms
Pt
in
HER,
while
drives
both
HER
OER,
Ni–N2@C15N5S3H5
catalyzes
OER
ORR,
catalysts.
Comparative
activity
analysis
reveals
Ni-d
orbitals
interact
O-p
orbitals,
pairing
up
electrons
from
antibonding
states
into
downward
bonding
thus
fitting
OH*
adsorption
enhancing
performance.
We
further
examined
pH
applied
effects
OER/ORR
performance
monolayers,
show
enhanced
acidic
conditions,
excelling
ORR
under
alkaline
conditions
conditions.
Moreover,
techniques
were
to
explore
correlation
between
range
structural
atomic
properties.
Язык: Английский
Breaking the Brønsted–Evans–Polanyi relationship in N2 adsorption driven by potential-dependent repositioning of frontier orbitals: a sweet marriage of machine learning-assisted screening and the electric double-layer effect
Journal of Materials Chemistry A,
Год журнала:
2025,
Номер
unknown
Опубликована: Янв. 1, 2025
We
conducted
an
upgrade
prediction
for
NRR
electrocatalysts
on
g-C
16
N
5
featuring
the
local
coordinationof
TM–N
4
,
with
Mo@g-C
standing
out.
Using
constant-potential
method
and
implicit
solvent
model,
we
find
electric
double-layer
capacitance
is
key
in
modulating
kinetic
barrier.
Язык: Английский
Multiscale Design of Array‐Type Integrated Electrodes for Gas‐Involving Electrocatalytic Reactions
Small,
Год журнала:
2025,
Номер
unknown
Опубликована: Май 2, 2025
Abstract
Oxygen
evolution/hydrogen
evolution/oxygen
reduction
reactions
(OER/HER/ORR)
are
core
processes
of
electrochemical
energy
conversion
technologies,
which
great
significance
to
sustainable
society.
With
the
common
gas‐involving
characteristic,
these
electrocatalytic
inevitably
faced
with
sluggish
intrinsic
kinetics
at
large
current
conditions,
due
difficult
mass
transfer
in
multiphase
processes.
Accordingly,
array‐type
integrated
electrodes
regarded
as
a
promising
solution,
while
relevant
design
strategies
systematically
summarized
from
multiscale
perspectives
this
review.
On
one
hand,
macroscopic
multidimensional
structural
designs
illustrated
considering
advantages
and
limitations
various
one/two/three‐dimensional
(1D,
2D,
3D)
array
units;
on
other
microscopic
chemical/interfacial
emphasized
by
including
ionic
regulation,
vacancy
design,
phase
conversion,
interface
engineering,
etc.
Furthermore,
composite
discussed
terms
surface,
hierarchical,
atomic
levels,
especially
how
integrate
chemical
simultaneously.
Finally,
rules
well
outlooks
for
toward
provided.
Язык: Английский