Escaping Kinetic Traps Using Nonreciprocal Interactions
Physical Review Letters,
Journal Year:
2024,
Volume and Issue:
133(2)
Published: July 12, 2024
Kinetic
traps
are
a
notorious
problem
in
equilibrium
statistical
mechanics,
where
temperature
quenches
ultimately
fail
to
bring
the
system
low
energy
configurations.
Using
multifarious
self-assembly
as
model
system,
we
introduce
mechanism
escape
kinetic
by
utilizing
nonreciprocal
interactions
between
components.
Introducing
nonequilibrium
effects
offered
broken
action-reaction
symmetry
pushes
trajectory
of
out
arrested
dynamics.
The
dynamics
is
studied
using
tools
from
physics
interfaces
and
defects.
Our
proposal
can
find
applications
self-assembly,
glassy
systems,
systems
with
facilitate
local
minima
rough
landscapes.
Language: Английский
Selectively advantageous instability in biotic and pre-biotic systems and implications for evolution and aging
Frontiers in Aging,
Journal Year:
2024,
Volume and Issue:
5
Published: May 16, 2024
Rules
of
biology
typically
involve
conservation
resources.
For
example,
common
patterns
such
as
hexagons
and
logarithmic
spirals
require
minimal
materials,
scaling
laws
energy.
Here
a
relationship
with
the
opposite
theme
is
discussed,
which
selectively
advantageous
instability
(SAI)
one
or
more
components
replicating
system,
cell.
By
increasing
complexity
SAI
can
have
benefits
in
addition
to
generation
energy
mobilization
building
blocks.
involves
potential
cost
system
for
materials
and/or
required
create
unstable
component,
some
cases,
its
active
degradation.
well-studied
cells.
Short-lived
transcription
signaling
factors
enable
rapid
response
changing
environment,
turnover
critical
replacement
damaged
macromolecules.
The
gene
set
viable
cell
includes
proteases
nuclease,
suggesting
essential
life.
promotes
genetic
diversity
several
ways.
Toxin/antitoxin
systems
promote
maintenance
genes,
mitochondria
facilitates
uniparental
transmission.
creating
two
distinct
states,
subject
different
selective
pressures,
maintain
diversity.
synthetic
replicators
favors
replicator
cycling,
promoting
emergence
increased
complexity.
Both
classical
recent
computer
modeling
reveals
SAI.
may
be
involved
at
additional
levels
biological
organization.
In
summary,
reproductive
fitness,
aging
through
loss
resources
deleterious
alleles.
Language: Английский
Confinement Induces Morphological and Topological Transitions in Multivesicles
ACS Nano,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Jan. 21, 2025
The
study
of
self-assembly
in
confined
spaces
has
gained
significant
attention
among
amphiphilic
superstructures
and
colloidal
design.
additional
complexity
introduced
by
interactions
between
contents
their
containers,
along
with
the
effects
shape
lipid
mixing,
makes
multivesicular
bodies
an
interesting
subject
study.
Despite
its
promising
applications
biomedicine,
such
as
drug
delivery
biomimetic
materials,
much
remains
unexplored.
Here
we
investigate
confinement
on
vesicles
varying
tail
lengths.
We
first
analyze
morphological
changes
single
spherical
undergoing
dehydration,
which
leads
to
a
prolate-to-oblate
transition.
Our
findings
reveal
that
reductions
water
content
induce
while
minimally
affecting
surface
area
needed
maintain
hydration
layer
phosphate
groups.
Additionally,
using
extensive
coarse-grained
molecular
dynamics
simulations,
explore
how
within
other
evolve
through
topological
into
unexpected
structures,
mainly
influenced
hydrocarbon
results
highlight
interplay
confinement,
curvature-induced
sorting,
lipid-mixing
entropy,
leading
exquisitely
self-assembled
superstructures.
Language: Английский
Accessing Semiaddressable Self-Assembly with Efficient Structure Enumeration
Maximilian C. Hübl,
No information about this author
Carl P. Goodrich
No information about this author
Physical Review Letters,
Journal Year:
2025,
Volume and Issue:
134(5)
Published: Feb. 7, 2025
Modern
experimental
methods
enable
the
creation
of
self-assembly
building
blocks
with
tunable
interactions,
but
optimally
exploiting
this
tunability
for
desired
structures
remains
an
important
challenge.
Many
studies
inverse
problem
start
so-called
fully
addressable
limit,
where
every
particle
in
a
target
structure
is
different.
This
leads
to
clear
design
principles
that
often
result
high
assembly
yield,
it
not
scalable
approach-at
some
point,
one
must
grapple
"reusing"
blocks,
which
lowers
degree
addressability
and
may
cause
multitude
off-target
form,
complicating
process.
Here,
we
solve
key
obstacle
preventing
robust
"semiaddressable
regime"
by
developing
highly
efficient
algorithm
enumerates
all
can
be
formed
from
given
set
blocks.
By
combining
established
partition-function-based
yield
calculations,
show
almost
always
possible
find
economical
semiaddressable
designs
entropic
gain
reusing
outweighs
presence
even
increases
target.
Thus,
only
does
our
enumeration
regime,
results
demonstrate
operate
regime
while
maintaining
level
control
associated
full
addressability.
Language: Английский
Nonequilibrium Self-Assembly Control by the Stochastic Landscape Method
Journal of Chemical Information and Modeling,
Journal Year:
2025,
Volume and Issue:
unknown
Published: April 8, 2025
Self-assembly
of
building
blocks
is
a
fundamental
process
in
nanotechnology,
materials
science,
and
biological
systems,
offering
pathways
to
the
formation
complex
functional
structures
through
local
interactions.
However,
lack
effective
error
correction
mechanisms
often
limits
efficiency
precision
assembly,
particularly
systems
with
strong
binding
energies.
Inspired
by
cellular
processes
stochastic
resetting,
we
present
closed-loop
feedback
control
method
that
employs
transient
modulations
interaction
energies,
mimicking,
for
instance,
global
effect
pH
changes
as
nonequilibrium
drives
optimize
assembly
outcomes
real
time.
By
leveraging
landscape
method,
framework
using
energy
trend-based
segmentation
predict
self-assembly
behavior,
our
approach
dynamically
analyzes
system's
state
trends
guide
actions.
We
show
modulation
during
kinetic
trapping
conditions
substantially
enhances
yields
reduces
times
across
diverse
scenarios.
This
strategy
provides
broadly
applicable,
data-driven
optimizing
processes,
potential
implications
manufacturing
responsive
design,
while
also
advancing
understanding
controlled
molecular
synthetic
contexts.
Language: Английский
Driven Self-Assembly of Patchy Particles Overcoming Equilibrium Limitations
Journal of Chemical Theory and Computation,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Sept. 10, 2024
Bridging
biological
complexity
and
synthetic
material
design,
we
investigate
dissipative
self-assembly
in
patchy
particle
systems.
Utilizing
Monte
Carlo
Molecular
Dynamics
simulations,
demonstrate
how
external
driving
forces
mitigate
equilibrium
trade-offs
between
assembly
time
structural
stability,
traditionally
encountered
processes.
Our
findings
also
extend
to
biological-mimicking
environments,
where
explore
the
dynamics
of
particles
under
crowded
conditions.
This
comprehensive
analysis
offers
insights
into
advanced
opening
avenues
for
innovations
nanotechnology
applications.
Language: Английский
A Bagworm-Inspired Robot That Acquires Its Exterior from External Environments
Biomimetics,
Journal Year:
2025,
Volume and Issue:
10(4), P. 252 - 252
Published: April 20, 2025
In
this
research,
we
propose
a
bagworm-inspired
robot
that
can
acquire
its
exterior
by
incorporating
various
objects
from
the
surrounding
environment
into
skin.
This
study
was
inspired
bagworm,
larva
of
giant
bagworm
moth,
which
wraps
itself
around
straw
and
other
materials
to
use
as
nest.
When
is
active
outdoors,
it
surrounded
natural
such
sand,
fallen
leaves,
pieces
wood,
change
skin
attaching
or
detaching
these
needed.
previous
study,
authors
developed
camouflage
assimilates
with
outside
world
environmental
sand.
using
water-soluble
adhesive
material,
possible
take
in
larger
number
external
substances
than
before.
We
also
conducted
experiments
materials,
including
leaves
pebbles,
confirmed
could
pick
them
up.
expect
developing
functions,
robots
will
not
only
have
capabilities
but
ability
reinforce
their
own
like
bagworms.
Language: Английский
Dissipative Self-Assembly of Patchy Particles under Nonequilibrium Drive: A Computational Study
Shubhadeep Nag,
No information about this author
Gili Bisker
No information about this author
Journal of Chemical Theory and Computation,
Journal Year:
2024,
Volume and Issue:
20(20), P. 8844 - 8861
Published: Oct. 4, 2024
Inspired
by
biology
and
implemented
using
nanotechnology,
the
self-assembly
of
patchy
particles
has
emerged
as
a
pivotal
mechanism
for
constructing
complex
structures
that
mimic
natural
systems
with
diverse
functionalities.
Here,
we
explore
dissipative
under
nonequilibrium
conditions,
aim
overcoming
constraints
imposed
equilibrium
assembly.
Utilizing
extensive
Monte
Carlo
(MC)
Molecular
Dynamics
(MD)
simulations,
provide
insight
into
effects
external
forces
mirror
chemical
processes
on
assembly
rates
stability
resulting
assemblies
comprising
8,
10,
13
particles.
Implemented
favorable
bond-promoting
drive
in
MC
or
pulsed
square
wave
potential
MD,
our
simulations
reveal
role
these
drives
play
accelerating
kinetics
enhancing
structural
stability,
evidenced
decrease
time
to
first
an
increase
duration
system
remains
assembled
state.
Through
analysis
order
parameter,
entropy
production,
bond
dynamics,
interparticle
forces,
unravel
underlying
mechanisms
driving
advancements.
We
also
validated
key
findings
simulating
larger
100
Our
comprehensive
results
not
only
shed
light
impact
stimuli
but
open
promising
pathway
expanding
application
leveraging
novel
nanostructures.
Language: Английский
Shape Matters in Self-Assembly
Michael Schirber
No information about this author
Physics,
Journal Year:
2024,
Volume and Issue:
17
Published: April 3, 2024
Language: Английский
Escaping kinetic traps using non-reciprocal interactions
arXiv (Cornell University),
Journal Year:
2023,
Volume and Issue:
unknown
Published: Jan. 1, 2023
Kinetic
traps
are
a
notorious
problem
in
equilibrium
statistical
mechanics,
where
temperature
quenches
ultimately
fail
to
bring
the
system
low
energy
configurations.
Using
multifarious
self-assembly
as
model
system,
we
introduce
mechanism
escape
kinetic
by
utilizing
non-reciprocal
interactions
between
components.
Introducing
non-equilibrium
effects
offered
broken
action-reaction
symmetry
can
push
trajectory
of
out
arrested
dynamics.
The
dynamics
is
studied
using
tools
from
physics
interfaces
and
defects.
Our
proposal
find
applications
self-assembly,
glassy
systems
with
Language: Английский