The Journal of Physical Chemistry A,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Jan. 6, 2025
Photolysis
of
energetic
materials
offers
safer
and
more
controllable
advantages
compared
to
traditional
ignition
methods.
Tracking
the
group
electron
dynamics
during
photolysis
is
currently
a
hot
challenging
topic.
In
this
work,
we
used
time-dependent
density
functional
theory
(TDDFT)
study
high-order
Harmonic
generation
(HHG)
induced
by
strong
laser
interaction
with
an
isolated
CH
In-situ
assembly
of
three
molecular
perovskite
energetic
materials
(DAP-2,
DAP-4,
and
DAN-2)
with
ammonium
perchlorate
as
a
core-shell
eutectic
oxidizer,
the
performance
mechanism
HTPB
propellant
was
investigated.
This
comprehensive
study
examined
thermal
decomposition
behavior
combustion-agglomeration
characteristics
oxidizers
under
pressures
ranging
from
0.1
to
8.0
MPa.
Experimental
results
demonstrated
that
synthesized
exhibited
significant
redox
reactions
during
combustion
within
propellant.
The
were
accompanied
by
release
superoxide
ions,
which
notably
enhanced
energy
release.
structure
improved
interfacial
contact,
leading
increased
heat
mass
transfer
efficiency.
As
result,
shorter
times
burning
rates
observed,
DAP-4
demonstrating
best
overall
among
five
materials.
Additionally,
average
agglomerate
sizes
(D50)
for
RDX-,
HMX-,
DAP-2-,
DAP-4-,
DAN-2-based
propellants
near
surface
161.11
μm,
92.51
40.64
30.30
41.16
respectively.
agglomeration
degree
based
on
significantly
lower
than
RDX
HMX-based
propellants.
reduction
in
is
attributed
thin
molten
skeleton
layer
high-temperature
oxidizing
gases
produced
oxidizers,
effectively
suppressed
aluminum
particle
surface.
dual
ultimately
resulted
enhancement
performance.
Materials,
Journal Year:
2025,
Volume and Issue:
18(2), P. 366 - 366
Published: Jan. 15, 2025
High-energy
structural
materials
(ESMs)
integrate
a
high
energy
density
with
rapid
release,
offering
promising
applications
in
advanced
technologies.
In
this
study,
novel
dual-phase
Ti40Zr40W10Mo10
high-entropy
alloy
(HEA)
was
synthesized
and
evaluated
as
potential
ESM.
The
exhibited
body-centered
cubic
(BCC)
matrix
Mo-W-rich
BCC
precipitates
of
varying
sizes,
which
increased
proportionally
the
W
content.
compressive
mechanical
properties
were
assessed
across
range
strain
rates,
revealing
that
W10
HEA
sustained
strength
2300
MPa
at
rate
3000
s−1.
This
exceptional
performance
is
attributed
to
uniform
distribution
circular
precipitates.
Conversely,
W13
HEA,
aggregated
large
deteriorated
its
dynamic
properties.
Furthermore,
deflagration
behavior
observed
during
deformation
W10,
highlighting
high-performance
Inorganic Chemistry,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Jan. 31, 2025
Polynitrogen
with
high
energy
and
environmental
friendliness
has
exhibited
potential
application
in
military
civilian
fields.
In
this
study,
first-principle
calculations
were
employed
to
conduct
a
comprehensive
investigation
of
the
nitrogen-rich
Lu-N
compounds.
The
research
yielded
ten
novel
polynitrides:
P21/c-LuN2,
P1̅-LuN3,
P1̅-LuN4,
P21/m-LuN4,
P1̅-LuN5,
P1̅-LuN6,
P1̅-LuN8,
Cm-LuN9,
I4/m-LuN10,
Cmcm-LuN10.
It
is
noteworthy
that
two
polymeric
nitrogen
structures
have
been
observed
our
prediction:
an
infinite
tripodic-N4
chain
formed
heart-shaped
N12
ring
band
Cm-LuN9.
Excellent
stabilities
calculated
compounds;
P21/m-LuN4
P1̅-LuN8
are
quenchable
under
ambient
conditions.
Meanwhile,
polynitrogen
P1̅-LuN6
Cm-LuN9
decompose
into
thermally
stable
N6
rings
N-chains
conditions,
respectively.
Cmcm-LuN10
thermodynamically
due
its
symmetry
efficient
packing
chain-like
N10
cage.
Moreover,
compounds,
which
display
favorable
density
(mass
(Ed)
=
1.60-3.59
kJ/g;
volumetric
(EV)
11.32-15.65
kJ/cm3),
prospective
candidates
for
environmentally
friendly
high-energy
materials.
These
results
provide
good
theoretical
guide
experimental
synthesis
new
energetic
RSC Advances,
Journal Year:
2025,
Volume and Issue:
15(15), P. 11645 - 11654
Published: Jan. 1, 2025
This
study
combined
quantum
chemical
calculations
and
machine
learning
models
to
identify
three
bistetrazole-based
energetic
molecules
with
high
potential
from
a
set
of
35
322
molecules.
AIP Advances,
Journal Year:
2025,
Volume and Issue:
15(4)
Published: April 1, 2025
The
application
of
machine
learning
in
the
research
and
development
energetic
materials
is
becoming
increasingly
widespread
for
performance
prediction
inverse
design.
Many
advances
have
been
achieved,
especially
discovery
various
new
materials.
However,
main
properties
such
as
data
acquisition,
molecular
characterization,
limitations
objects
insufficient.
Density,
a
critical
factor
influencing
detonation
materials,
difficult
to
predict
with
high
precision
speed
at
large
scale.
In
this
study,
techniques
are
employed
density
CHNO
result
explore
simultaneously
possessing
stability.
By
screening
dataset
16
548
candidate
molecules,
175
potential
high-performance
molecules
were
identified.
Among
candidates,
it
noted
that
molecule
velocity
7.328
Km/s
pressure
24.48
GPa
was
which
comparable
TNT.
study
shows
transformative
accelerating
novel
vital
diverse
applications
optimized
expected
accelerate
next-generation