Molecules,
Journal Year:
2024,
Volume and Issue:
29(19), P. 4761 - 4761
Published: Oct. 8, 2024
The
solid
electrolyte
interface
(SEI)
plays
a
critical
role
in
determining
the
performance,
stability,
and
longevity
of
batteries.
This
review
comprehensively
compares
construction
strategies
SEI
Li
Mg
batteries,
focusing
on
differences
similarities
their
formation,
composition,
functionality.
batteries
is
well-studied,
with
established
that
leverage
organic
inorganic
components
to
enhance
ion
diffusion
mitigate
side
reactions.
In
contrast,
development
still
its
initial
stages,
facing
significant
challenges
such
as
severe
passivation
slower
kinetics
due
divalent
nature
magnesium
ions.
highlights
various
approaches
engineering
SEIs
both
battery
systems,
including
optimization,
additives,
surface
modifications.
Furthermore,
it
discusses
impact
these
electrochemical
cycle
life,
safety.
comparison
provides
insights
into
underlying
mechanisms,
challenges,
future
directions
for
research.
Nanomaterials,
Journal Year:
2024,
Volume and Issue:
14(12), P. 1036 - 1036
Published: June 16, 2024
Hydrogen
energy,
known
for
its
high
energy
density,
environmental
friendliness,
and
renewability,
stands
out
as
a
promising
alternative
to
fossil
fuels.
However,
broader
application
is
limited
by
the
challenge
of
efficient
safe
storage.
In
this
context,
solid-state
hydrogen
storage
using
nanomaterials
has
emerged
viable
solution
drawbacks
traditional
methods.
This
comprehensive
review
delves
into
recent
advancements
in
storage,
elucidating
fundamental
principles
mechanisms,
highlighting
significant
material
systems,
exploring
strategies
surface
interface
engineering
alongside
catalytic
enhancement.
We
also
address
primary
challenges
provide
future
perspectives
on
development
nanomaterial-based
technologies.
Key
discussions
include
role
nanomaterial
size
effects,
modifications,
nanocomposites,
nanocatalysts
optimizing
performance.
Energy Reviews,
Journal Year:
2024,
Volume and Issue:
4(1), P. 100106 - 100106
Published: Aug. 10, 2024
Energy
drives
the
development
of
human
civilization,
and
hydrogen
energy
is
an
inevitable
choice
under
goal
"global
transition".
As
technology
continues
to
advance,
solid-state
storage
materials
have
attracted
significant
attention
as
efficient
solution
for
storage.
However,
existing
research
methods,
such
experimental
preparation
theoretical
calculations,
are
inefficient
costly.
Here,
we
summarize
latest
advancements
high-throughput
screening
(HTS)
machine
learning
(ML)
materials.
It
elaborates
on
advantages
HTS
ML
in
rapid
material
screening,
performance
assessment
prediction,
so
on.
We
place
particular
emphasis
exploration
analysis
progress
involving
application
various
types
Additionally,
discuss
integrating
ML,
emphasizing
this
comprehensive
strategy
field
In
realm
storage,
artificial
intelligence
plays
a
dual
role.
not
only
enhances
efficiency
but
also
offers
novel
tools
future
design
development.
This
will
aid
discovery
new-type
high-performance
materials,
facilitate
their
commercialization
practical
application.
