Abstract
Optical
encryption
technology
demonstrates
significant
potential
for
advanced
information
security
applications
due
to
its
inherent
advantages
in
high‐speed
operation,
multidimensional
processing,
and
parallel
computation
capabilities.
However,
current
research
this
field
has
predominantly
focused
on
elementary
optical
anti‐counterfeiting
techniques
binary
coding
systems,
with
limited
exploration
of
sophisticated
methodologies.
In
study,
a
novel
strategy
is
presented
that
employs
NaYF
4
multilayer
core–shell
nanocrystals
enable
dynamic
full‐color
upconversion
(UC)
emission
modulation
under
single‐wavelength
excitation,
thereby
facilitating
high‐capacity
through
machine
learning
(ML)‐assisted
processing.
Through
systematic
investigation
UC
photophysical
mechanisms,
it
revealed
the
tunability
originates
from
both
excitation
power
dependence
pulse
width
sensitivity
mediated
by
rare
earth
ion
cross‐relaxation
processes.
The
rich
generated
these
mechanisms
been
systematically
organized
into
comprehensive
ML‐constructed
database,
functioning
as
an
“codebook”
protocols.
developed
ML
framework
exceptional
capability
identifying
subtle
signature
differences,
achieving
over
98%
recognition
accuracy
database
pattern
matching.
This
system
theoretically
enables
decryption
18
8
distinct
patterns.
These
findings
establish
new
paradigm
development
provide
critical
insights
advancing
next‐generation
systems.
Nature Communications,
Journal Year:
2024,
Volume and Issue:
15(1)
Published: Dec. 30, 2024
Smart
control
of
energy
interactions
plays
a
key
role
in
manipulating
upconversion
dynamics
and
tuning
emission
colors
for
lanthanide-doped
materials.
However,
quantifying
the
flux
particular
migration
representative
sensitizer-activator
coupled
system
has
remained
challenge.
Here
we
report
conceptual
model
to
examine
single
nanoparticle
by
designing
an
interfacial
transfer
mediated
nanostructure.
We
show
that
indeed
occurs
simultaneously
with
competition
between
them
can
be
quantified
proposing
characteristic
ratio
parameter.
Moreover,
this
is
also
able
realize
color-switchable
photochromic
temporal
up-transition
processes.
These
findings
offer
deep
insight
into
understanding
provide
versatile
approach
nanostructures
tunable
colors,
showing
great
promise
applications
logic
operation
information
security.
Advanced Materials,
Journal Year:
2025,
Volume and Issue:
unknown
Published: April 16, 2025
Abstract
Upconversion
nanoparticles
(UCNPs),
incorporating
lanthanide
(Ln)
dopants,
can
convert
low‐energy
near‐infrared
photons
into
higher‐energy
visible
or
ultraviolet
light
through
nonlinear
energy
transfer
processes.
This
distinctive
feature
has
attracted
considerable
attention
in
both
fundamental
research
and
advanced
optoelectronics.
Challenges
such
as
low
energy‐conversion
efficiency
nonradiative
losses
limit
the
performance
of
UCNP‐based
optoelectronic
devices.
Recent
advancements
including
optimized
core–shell
structures,
tailed
Ln‐doping
concentration,
surface
modifications
show
significant
promise
for
improving
stability.
In
addition,
combining
UCNPs
with
functional
materials
broaden
their
applications
improve
device
performance,
paving
way
innovation
next‐generation
paper
first
categorizes
elaborates
on
various
upconversion
mechanisms
UCNPs,
focusing
strategies
to
boost
prolong
luminescence.
Subsequently,
an
in‐depth
discussion
that
enhance
expand
functionality
is
provided.
Furthermore,
a
wide
range
devices
explored,
multiple
emerging
neuromorphic
computing
are
highlighted.
Finally,
existing
challenges
potential
solutions
involved
developing
practical
considered,
well
outlook
future
technologies
Abstract
Optical
encryption
technology
demonstrates
significant
potential
for
advanced
information
security
applications
due
to
its
inherent
advantages
in
high‐speed
operation,
multidimensional
processing,
and
parallel
computation
capabilities.
However,
current
research
this
field
has
predominantly
focused
on
elementary
optical
anti‐counterfeiting
techniques
binary
coding
systems,
with
limited
exploration
of
sophisticated
methodologies.
In
study,
a
novel
strategy
is
presented
that
employs
NaYF
4
multilayer
core–shell
nanocrystals
enable
dynamic
full‐color
upconversion
(UC)
emission
modulation
under
single‐wavelength
excitation,
thereby
facilitating
high‐capacity
through
machine
learning
(ML)‐assisted
processing.
Through
systematic
investigation
UC
photophysical
mechanisms,
it
revealed
the
tunability
originates
from
both
excitation
power
dependence
pulse
width
sensitivity
mediated
by
rare
earth
ion
cross‐relaxation
processes.
The
rich
generated
these
mechanisms
been
systematically
organized
into
comprehensive
ML‐constructed
database,
functioning
as
an
“codebook”
protocols.
developed
ML
framework
exceptional
capability
identifying
subtle
signature
differences,
achieving
over
98%
recognition
accuracy
database
pattern
matching.
This
system
theoretically
enables
decryption
18
8
distinct
patterns.
These
findings
establish
new
paradigm
development
provide
critical
insights
advancing
next‐generation
systems.
