Angewandte Chemie International Edition,
Journal Year:
2023,
Volume and Issue:
63(12)
Published: Dec. 29, 2023
Abstract
Polymerization‐induced
self‐assembly
(PISA)
combines
polymerization
and
in
situ
of
block
copolymers
one
system
has
become
a
widely
used
method
to
prepare
copolymer
nanoparticles
at
high
concentrations.
The
persistence
polymers
the
environment
poses
huge
threat
ecosystem
represents
significant
waste
resources.
There
is
an
urgent
need
develop
novel
chemical
approaches
synthesize
degradable
polymers.
To
meet
with
this
demand,
it
crucial
install
degradability
into
PISA
nanoparticles.
Most
recently,
have
been
synthesized
by
introducing
degradation
mechanisms
either
shell‐forming
or
core‐forming
blocks.
This
Minireview
summarizes
development
PISA,
including
shell‐degradable,
core‐degradable,
all‐degradable
Future
will
benefit
from
expansion
techniques
new
adaptation
high‐throughput
for
both
syntheses
studies.
ACS Catalysis,
Journal Year:
2020,
Volume and Issue:
10(24), P. 14457 - 14515
Published: Nov. 24, 2020
Synthetic
polymer
chemistry
endeavors
to
imitate
the
spatial
and
temporal
control
exhibited
within
biological
systems
obtain
well-defined
polymeric
materials
with
unique
structures,
properties,
applications.
This
is
often
approached
through
development
of
dynamic
catalyst
(or
initiator)
that
use
external
stimuli
elicit
discrete,
site-specific
transformations
impact
polymerization.
Herein
we
highlight
developments
in
polymerizations
are
modulated
by
stimuli,
particular
focus
on
those
enable
notable
changes
kinetics,
monomer
selectivity,
architecture,
or
tacticity.
Examples
include
chemical
oxidants
reductants,
light,
applied
voltage,
mechanical
force.
Industrial & Engineering Chemistry Research,
Journal Year:
2020,
Volume and Issue:
59(41), P. 18357 - 18386
Published: Sept. 24, 2020
Stochastic
modeling
techniques
have
emerged
as
a
powerful
tool
to
study
the
time
evolution
of
processes
in
many
research
fields
including
(bio)chemical
engineering
and
biology.
One
most
applied
is
kinetic
Monte
Carlo
(kMC)
according
stochastic
simulation
algorithm
(SSA)
pioneered
by
Gillespie,
which
MC
channels
steps
are
discretely
sampled
from
probability
distributions.
In
last
decades,
SSA
algorithm,
originally
developed
for
systems
with
elemental
species
(e.g.,
A,
B,
C,
etc.),
has
been
further
adapted
(i)
also
tackle
distributed
species,
therefore,
populations
(ii)
enable
faster
execution.
present
contribution,
we
highlight
important
developments,
taking
bulk/solution
polymerization
reference
chemical
process.
We
address
principles
based
on
conventional
array
data
structures,
common
acceleration
methods
τ
leaping
scaling
method),
strength
tree-
matrix-based
structures
detailed
storage
molecular
information
per
distribution
type
even
individual
population
member.
addition,
report
advancement
regarding
programming
sampling
complemented
introduction
use
higher-order
trees
root-finding
tools.
The
contribution
gives
thus
overview
available
main
kMC
kinetics,
irrespective
specific
field
application
due
their
generic
nature.
Macromolecules,
Journal Year:
2022,
Volume and Issue:
55(6), P. 1879 - 1893
Published: March 11, 2022
In
the
quest
for
sustainable
development,
degradable
polymers
are
attractive
alternatives
to
traditional
fossil-based
plastics.
As
monocomponent
often
suffer
from
unsatisfactory
performances,
utilization
of
corresponding
copolymers
with
tailored
block
compositions
is
viable
improved
properties.
To
this
end,
emerging
field
self-switchable
polymerization
offers
a
facile
access
on-demand
synthesis
controlled
sequences,
in
which
polymerizations
were
regulated
by
monomers
themselves.
This
Perspective
outlines
state-of-the-art
systems
based
on
ring-opening
(co)polymerization
various
types
monomers.
The
scope
catalysts
and
monomer
summarized.
Comprehensive
comparison
between
different
offered
along
an
outlook
possible
future.
Angewandte Chemie International Edition,
Journal Year:
2022,
Volume and Issue:
61(26)
Published: Feb. 25, 2022
Enzyme
catalysis
has
been
increasingly
utilized
in
reversible
deactivation
radical
polymerization
(Enz-RDRP)
on
account
of
its
mildness,
efficiency,
and
sustainability.
In
this
Minireview
we
discuss
the
key
roles
enzymes
play
RDRP,
including
their
ATRPase,
initiase,
deoxygenation,
photoenzyme
activities.
We
use
selected
examples
to
highlight
applications
Enz-RDRP
surface
brush
fabrication,
sensing,
polymerization-induced
self-assembly,
high-throughput
synthesis.
also
give
our
reflections
challenges
future
directions
emerging
area.
Polymers,
Journal Year:
2020,
Volume and Issue:
12(7), P. 1553 - 1553
Published: July 13, 2020
Mixed
polymer
brushes
(MPBs)
are
composed
of
two
or
more
disparate
polymers
covalently
tethered
to
a
substrate.
The
resulting
phase
segregated
morphologies
have
been
extensively
studied
as
responsive
“smart”
materials,
they
can
be
reversible
tuned
and
switched
by
external
stimuli.
Both
computational
experimental
work
has
attempted
establish
an
understanding
the
nanostructures
that
vary
function
many
factors.
This
contribution
highlights
state-of-the-art
MPBs
studies,
covering
synthetic
approaches,
behavior,
responsiveness
stimuli
well
novel
applications
MPBs.
Current
limitations
recognized
possible
directions
for
future
studies
identified.
Polymer Chemistry,
Journal Year:
2021,
Volume and Issue:
12(16), P. 2357 - 2373
Published: Jan. 1, 2021
Photocatalytic
reversible
deactivation
radical
polymerization
(RDRP)
permits
the
use
of
sustainable
solar
light
for
spatiotemporal
regulation
under
mild
conditions.
