Polymers,
Journal Year:
2024,
Volume and Issue:
16(5), P. 659 - 659
Published: Feb. 29, 2024
Covalent
Organic
Frameworks
(COFs),
with
their
intrinsic
structural
regularity
and
modifiable
chemical
functionality,
have
burgeoned
as
a
pivotal
material
in
the
realm
of
photocatalytic
hydrogen
peroxide
(H2O2)
synthesis.
This
article
reviews
recent
advancements
multifaceted
approaches
employed
using
unique
properties
COFs
for
high-efficient
H2O2
production.
We
first
introduced
advantages
synthesis
H2O2.
Subsequently,
we
spotlight
principles
evaluation
generation,
followed
by
various
strategies
incorporation
active
sites
aiming
to
optimize
separation
transfer
photoinduced
charge
carriers.
Finally,
explore
challenges
future
prospects,
emphasizing
necessity
deeper
mechanistic
understanding
development
scalable
economically
viable
COF-based
photocatalysts
sustainable
Advanced Functional Materials,
Journal Year:
2023,
Volume and Issue:
34(12)
Published: Dec. 6, 2023
Abstract
As
a
chemical
product
with
rapidly
expanding
demand
in
the
field
of
modern
energy
and
environmental
applications,
hydrogen
peroxide
(H
2
O
)
has
garnered
widespread
attention.
However,
existing
industrial
production
H
is
plagued
by
high
consumption,
harmful
waste
emission,
severe
safety
issues,
making
it
difficult
to
satisfy
environmental/economic
concept.
Artificial
photosynthesis
offers
viable
strategy
for
green
sustainable
since
uses
sunlight
as
an
source
initiate
reaction
oxygen
water
produce
.
Among
various
photocatalysts,
covalent
organic
frameworks
(COFs),
featuring
highly
ordered
skeletons
well‐defined
active
sites,
have
emerged
promising
photocatalysts
production.
This
review
presents
nascent
burgeoning
area
photocatalytic
based
on
COFs.
First,
brief
overview
technology
provided,
followed
detailed
introduction
principles
evaluation
generation.
Subsequently,
latest
research
progress
judicious
design
COFs
expounded,
particular
emphasis
manipulating
electronic
structures
redox
sites.
Finally,
outlook
challenges
future
opportunities
proposed,
hope
stimulating
further
explorations
novel
molecular‐designed
photosynthesis.
Angewandte Chemie International Edition,
Journal Year:
2024,
Volume and Issue:
63(20)
Published: March 21, 2024
Abstract
Memristors
are
essential
components
of
neuromorphic
systems
that
mimic
the
synaptic
plasticity
observed
in
biological
neurons.
In
this
study,
a
novel
approach
employing
one‐dimensional
covalent
organic
framework
(1D
COF)
films
was
explored
to
enhance
performance
memristors.
The
unique
structural
and
electronic
properties
two
1D
COF
(COF‐4,4′‐methylenedianiline
(MDA)
COF‐4,4′‐oxydianiline
(ODA))
offer
advantages
for
multilevel
resistive
switching,
which
is
key
feature
computing
applications.
By
further
introducing
TiO
2
layer
on
COF‐ODA
film,
built‐in
electric
field
between
COF‐TiO
interfaces
could
be
generated,
demonstrating
feasibility
utilizing
COFs
as
platform
constructing
memristors
with
tunable
states.
nanochannels
these
structures
contributed
efficient
modulation
electrical
conductance,
enabling
precise
control
over
weights
circuits.
This
study
also
investigated
potential
COF‐based
achieve
energy‐efficient
high‐density
memory
devices.
ACS Applied Materials & Interfaces,
Journal Year:
2024,
Volume and Issue:
16(5), P. 6176 - 6188
Published: Jan. 25, 2024
Recent
advancements
in
reservoir
computing
(RC)
research
have
created
a
demand
for
analogue
devices
with
dynamics
that
can
facilitate
the
physical
implementation
of
reservoirs,
promising
faster
information
processing
while
consuming
less
energy
and
occupying
smaller
area
footprint.
Studies
demonstrated
dynamic
memristors,
nonlinear
short-term
memory
dynamics,
are
excellent
candidates
as
information-processing
or
reservoirs
temporal
classification
prediction
tasks.
Previous
implementations
relied
on
nominally
identical
memristors
applied
same
transformation
to
input
data,
which
is
not
enough
achieve
rich
state
space.
To
address
this
limitation,
researchers
either
diversified
data
encoding
across
multiple
harnessed
stochastic
device-to-device
variability
among
memristors.
However,
approach
requires
additional
preprocessing
steps
leads
synchronization
issues.
Instead,
it
preferable
encode
once
pass
them
through
layer
consisting
distinct
dynamics.
Here,
we
demonstrate
ion-channel-based
voltage-dependent
be
controllably
predictively
tuned
voltage
adjustment
ion
channel
concentration
exhibit
diverse
properties.
We
show,
experiments
simulations,
layers
constructed
small
number
significantly
higher
predictive
accuracies
single
encoding.
found
second-order
dynamical
system
task,
varied
memristor
experimentally
achieved
an
impressive
normalized
mean
square
error
1.5
×
10–3,
using
only
five
Moreover,
neural
activity
just
three
attained
accuracy
96.5%.
This
work
lays
foundation
next-generation
RC
systems
exploit
complex
their
building
blocks
increased
signal
capabilities.
Angewandte Chemie International Edition,
Journal Year:
2024,
Volume and Issue:
63(12)
Published: Feb. 1, 2024
Abstract
Piezochromic
materials
that
exhibit
pressure‐dependent
luminescence
variations
are
attracting
interest
with
wide
potential
applications
in
mechanical
sensors,
anticounterfeiting
and
storage
devices.
Crystalline
porous
(CPMs)
have
been
widely
studied
piezochromism
for
highly
tunable
luminescence.
Nevertheless,
reversible
high‐contrast
emission
response
a
pressure
range
is
still
challenging.
Herein,
the
first
example
of
hierarchical
cage‐based
πOF
(
Cage
‐
1
)
spring
structure
was
synthesized
by
using
aromatic
chiral
cages
as
building
blocks.
Its
elastic
properties
evaluated
based
on
bulk
modulus
(9.5
GPa)
softer
than
most
reported
CPMs
collapse
point
(20.0
significantly
exceeds
ever
CPMs.
As
smart
materials,
displays
linear
achieves
difference
up
to
154
nm.
Pressure‐responsive
limit
16
GPa,
outperforming
so
far.
Dedicated
experiments
density
functional
theory
(DFT)
calculations
illustrate
π–π
interactions‐dominated
controllable
structural
shrinkage
porous‐spring‐structure‐mediated
elasticity
responsible
outstanding
piezofluorochromism.
Chemical Reviews,
Journal Year:
2024,
Volume and Issue:
124(22), P. 12738 - 12843
Published: Nov. 5, 2024
The
quest
to
imbue
machines
with
intelligence
akin
that
of
humans,
through
the
development
adaptable
neuromorphic
devices
and
creation
artificial
neural
systems,
has
long
stood
as
a
pivotal
goal
in
both
scientific
inquiry
industrial
advancement.
Recent
advancements
flexible
electronics
primarily
rely
on
nanomaterials
polymers
owing
their
inherent
uniformity,
superior
mechanical
electrical
capabilities,
versatile
functionalities.
However,
this
field
is
still
its
nascent
stage,
necessitating
continuous
efforts
materials
innovation
device/system
design.
Therefore,
it
imperative
conduct
an
extensive
comprehensive
analysis
summarize
current
progress.
This
review
highlights
applications
neuromorphics,
involving
inorganic
(zero-/one-/two-dimensional,
heterostructure),
carbon-based
such
carbon
nanotubes
(CNTs)
graphene,
polymers.
Additionally,
comparison
summary
structural
compositions,
design
strategies,
key
performance,
significant
these
are
provided.
Furthermore,
challenges
future
directions
pertaining
materials/devices/systems
associated
neuromorphics
also
addressed.
aim
shed
light
rapidly
growing
attract
experts
from
diverse
disciplines
(e.g.,
electronics,
science,
neurobiology),
foster
further
for
accelerated
development.
ACS Applied Electronic Materials,
Journal Year:
2024,
Volume and Issue:
6(1), P. 587 - 598
Published: Jan. 10, 2024
The
limitations
of
Moore's
law
and
the
von
Neumann
bottleneck
have
sparked
an
increasing
interest
in
advanced
intelligent
systems,
such
as
memristors
neuromorphic
devices.
This
work
unveils
role
slow
ion
migration
for
resistive
switching
(RS)
exceptional
environmental
mechanical
resilience
achieved
with
butane-1,4-diammonium
(BDA)-based
BDAPbI4
memristors,
meticulously
fabricated
measured
ambient
conditions.
These
demonstrate
durability
consistent
characteristics
up
to
60
days
a
slight
decay
ON/OFF
ratio
on
140th
day.
Devices
show
potential
flexible
random-access
memories
low
operating
voltage
∼100
mV
strong
data
retention
endurance
35
h
∼1000
cycles,
respectively.
RS
these
devices
is
attributed
energy
barrier
modulation
at
perovskite/Ag
interface
perovskite
film.
Furthermore,
initial
investigations
into
their
synaptic
reveal
stable
learning
behavior
(potentiation
depression)
invariant
paired
pulse
facilitation
(PPF),
tested
flat
5
mm
bending
radii.
Additionally,
application
spike
time-dependent
plasticity
(STDP)
Hebbian
rule
effectively
demonstrates
feasibility
computing
applications.
particularly
promising
use
extreme
conditions,
electronic
skins,
extends
beyond
traditional
storage
solutions.
