Inorganic Chemistry Frontiers,
Год журнала:
2025,
Номер
unknown
Опубликована: Янв. 1, 2025
This
summary
describes
and
elucidates
an
enhanced
strategy
for
photocatalytic
nitrogen
fixation
over
Bi
2
MO
6
(M
=
Mo,
W)-based
catalysts
points
out
the
development
prospects
of
fixation.
Advanced Functional Materials,
Год журнала:
2024,
Номер
unknown
Опубликована: Окт. 23, 2024
Abstract
The
controllable
formation
of
a
built‐in
electric
field
(IEF)
can
effectively
separate
photogenerated
electrons
and
holes
optimize
the
band
structure
material,
thus
improving
its
photocatalytic
performance.
Here,
novel
type
defective
metal‐organic
framework
(MOF),
i.e.,
an
MIL‐125(Ti)@Ti‐Ce‐MOF
yolk‐shell
Z‐scheme
heterojunction,
is
synthesized
using
simple
ion‐etching‐coupled
reconstruction
method.
By
controlling
concentration
ligand
defects
within
MOF
strength
IEF
heterojunction
be
regulated.
Moreover,
experimental
theoretical
results
demonstrated
that
enhance
efficiency
carrier
separation
improve
transport
capacity
by
regulating
IEF.
tetracycline
(TC)
degradation
performance
resultant
≈52.5‐
5.5‐fold
higher
than
those
Ti‐Ce‐MOF
MIL‐125(Ti),
respectively,
indicating
efficient
spatial
charge
due
to
enhanced
This
study
reveals
precise
control
over
elucidating
relationship
between
defect
promoting
performances
MOF@MOF‐based
catalysts
via
density
functional
theory
related
experiments.
Journal of Materials Informatics,
Год журнала:
2024,
Номер
4(4)
Опубликована: Дек. 31, 2024
Photocatalysis
is
a
unique
technology
that
harnesses
solar
energy
through
in-situ
processes,
operating
without
the
need
for
external
inputs.
It
integral
to
advancing
environmental,
energy,
chemical,
and
carbon-neutral
objectives,
promoting
dual
goals
of
pollution
control
carbon
reduction.
However,
conventional
approach
photocatalyst
design
faces
challenges
such
as
inefficiency,
high
costs,
low
success
rates,
highlighting
integrating
modern
technologies
seeking
new
paradigms.
Here,
we
demonstrate
comprehensive
overview
transformative
strategies
in
design,
combining
computational
materials
science
with
deep
learning
technologies.
The
review
covers
fundamental
principles
followed
by
examination
methods
workflow
deep-learning-assisted
design.
Deep
approaches
are
extensively
reviewed,
focusing
on
discovery
novel
photocatalysts,
microstructure
property
optimization,
approaches,
application
exploration,
mechanistic
insights
into
photocatalysis.
Finally,
highlight
synergy
between
multidimensional
computation
learning,
while
discussing
future
directions
development.
This
offers
summary
offering
not
only
enhance
development
photocatalytic
but
also
expand
practical
applications
photocatalysis
various
domains.
