Applied Surface Science,
Journal Year:
2021,
Volume and Issue:
579, P. 152234 - 152234
Published: Dec. 17, 2021
Developing
high-performance
electrocatalysts
for
oxygen
evolution
reaction
(OER)
and
reduction
(ORR)
is
crucial
energy
conversion
storage.
Recently,
a
new
type
of
two-dimensional
material
MoSi2N4
was
successfully
synthesized
received
considerable
attention
because
novel
properties
potential
applications.
Herein,
by
means
first
principles
calculation,
the
OER/ORR
activities
3d
transition
metal
(TM)
atoms
embedded
([email
protected])
were
investigated.
The
calculated
results
indicate
that
TM
on
exhibit
good
electrochemical
stability.
On
sites,
[email
protected]
shows
highest
OER
activity
with
an
overpotential
0.48
V,
whereas
most
active
ORR
catalyst
V.
Si
site
(Si−N1−Cu)
follows
dual-site
mechanism,
exhibiting
same
as
N
(0.55/0.65
V).
Interestingly,
outer
(Zn−N1)
achieves
lowest
0.38
better
than
state-of-the-art
RuO2
catalyst.
We
demonstrate
not
only
serve
sites
themselves
but
also
activate
host
to
improve
performance
MoSi2N4.
Our
work
opens
windows
opportunity
developing
catalysts
beyond
precious
metal-based
efficient
Energy & Environmental Science,
Journal Year:
2023,
Volume and Issue:
16(11), P. 5003 - 5018
Published: Jan. 1, 2023
We
presented
a
data-driven
framework
for
discovery
of
high-performance
2D
catalysts.
24
stable
and
active
ORR
catalysts
2
OER
were
identified,
the
strategy
evaluating
electrochemical
stability
materials
was
proposed.
Advanced Energy Materials,
Journal Year:
2024,
Volume and Issue:
14(29)
Published: May 8, 2024
Abstract
Alkali
metal‐sulfur
batteries
(MSBs)
are
one
of
the
most
promising
next‐generation
energy
storage
technologies
due
to
their
high
density
and
potential
for
low
cost.
They
nonetheless
constrained
by
sluggish
conversion
metal
polysulfides
(MPS)
during
charge/discharge
process.
Herein,
a
multifunctional
separator
able
trap
MPS
catalyze
in
three
main
MSB
chemistries,
Li‐,
Na‐,
K‐MSBs,
is
demonstrated.
More
detail,
SnSe
nanosheets
introduced
as
additive
into
cathode
side
glass
microfiber
(GF)
MSB.
Taking
lithium‐sulfur
(LSBs)
an
example,
it
demonstrated
that
GF‐SnSe
(GF@SnSe)
shows
strong
chemical
affinity
lithium
(LiPS)
superior
catalytic
activity,
inhibiting
transport
LiPSs
anode
accelerating
conversion.
Combining
experimental
calculation
results,
shown
decrease
Li
2
S
decomposition
barrier.
Overall,
GF@SnSe
separators
provide
significantly
improved
LSB
rate
performance
cycling
stability
with
0.049%
capacity
decay
per
cycle.
Besides,
promotes
electrochemical
sodium‐sulfur
potassium‐sulfur
batteries.
this
work
presents
significant
advancement
development
LSBs
well
emerging
Na‐S
K‐S
systems.
ACS Sustainable Chemistry & Engineering,
Journal Year:
2021,
Volume and Issue:
9(18), P. 6130 - 6147
Published: April 27, 2021
Nanomaterials
(NMs)
have
developed
quickly
and
cover
various
fields,
but
research
on
nanotechnology
NMs
largely
relies
costly
experiments
or
complex
calculations
(e.g.,
density
functional
theory).
In
contrast,
machine
learning
(ML)
methods
can
address
the
large
amount
of
time
needed
labor
consumption
in
material
testing
achieve
big-data,
high-throughput
screening,
boosting
design
application
NMs.
ML
is
a
powerful
tool
for
NM
research;
however,
knowledge
gaps
critical
issues
should
be
promptly
addressed
to
promote
from
laboratory
industry.
With
focus
primary
aspects,
enhancements
structures,
properties,
adsorption,
catalysis
by
are
reviewed
discussed.
Given
emergent
challenges
nanobiology,
predictions
interactions
between
biology
also
analyzed.
Subsequently,
this
perspective
discusses
how
improve
interpretability
algorithms,
which
has
been
bottleneck
recent
years.
led
innovations
development
NMs,
some
problems
remain,
such
as
imperfect
databases
accuracy
algorithm
determination
nanopattern
image
recognition,
herein
addressed.
Overall,
provides
insights
research.
Advanced Materials,
Journal Year:
2021,
Volume and Issue:
33(41)
Published: Sept. 3, 2021
Abstract
Single‐atom
catalysts
(SACs)
have
been
at
the
frontier
of
research
field
in
catalysis
owing
to
maximized
atomic
utilization,
unique
structures
and
properties.
The
atomically
dispersed
catalytically
active
metal
atoms
are
necessarily
anchored
by
surrounding
atoms.
As
such,
structure
composition
anchoring
sites
significantly
influence
catalytic
performance
SACs
even
with
same
element.
Significant
progress
has
made
understand
structure–activity
relationships
an
level,
but
in‐depth
understanding
precisely
designing
highly
efficient
for
targeted
reactions
is
still
required.
In
this
review,
various
summarized
classified
into
five
different
types
(doped
heteroatoms,
defect
sites,
surface
atoms,
cavity
sites).
Then,
their
impacts
on
elucidated
electrochemical
based
distance
from
center
(first
coordination
shell
beyond).
Further,
two
typical
hosts,
carbon‐
metal‐based
materials,
highlighted,
effects
points
achieving
desirable
structure,
performance,
reaction
pathways
elaborated.
At
last,
insights
outlook
SAC
current
achievements
challenges
presented.
Small Methods,
Journal Year:
2021,
Volume and Issue:
5(11)
Published: Oct. 8, 2021
Converting
CO2
into
carbon-based
fuels
is
promising
for
relieving
the
greenhouse
gas
effect
and
energy
crisis.
However,
selectivity
efficiency
of
current
electrocatalysts
reductions
are
still
not
satisfactory.
In
this
paper,
development
machine
learning
methods
in
screening
reduction
over
recent
years
reviewed.
Through
high-throughput
calculation
some
key
descriptors
such
as
adsorption
energies,
d-band
center,
coordination
number
by
well-constructed
models,
catalytic
activity,
optimal
composition,
active
sites,
reaction
pathway
various
possible
materials
can
be
predicted
understood.
Machine
now
realized
a
fast
low-cost
method
to
effectively
explore
high
performance
reduction.
Physical Chemistry Chemical Physics,
Journal Year:
2021,
Volume and Issue:
23(43), P. 24915 - 24921
Published: Jan. 1, 2021
Two-dimensional
(2D)
materials
with
a
moderate
bandgap
and
high
carrier
mobility
are
useful
for
applications
in
optoelectronics.
In
this
work,
we
present
systematic
investigation
of
the
mechanical,
electronic
optical
properties
B2P6
monolayer
using
first-principles
calculations.
Monolayer
was
estimated
to
be
an
anisotropic
material
from
direction-dependent
in-plane
Young's
moduli
Poisson's
ratios.
Also,
exhibits
ultrahigh
electron
∼5888
cm2
V-1
s-1,
showing
advantages
application
high-speed
optoelectronic
devices.
More
importantly,
monolayer,
desirable
transformation
indirect
direct
band
gap
observed
at
biaxial
tensile
strain
∼4%.
Increasing
reduces
preserves
suitable
edge
positions
photocatalytic
water
splitting
range
1-8%.
The
decreased
also
enhances
visible
light
absorption
monolayer.
These
findings
indicate
that
has
promising
photovoltaic