Deleted Journal,
Journal Year:
2024,
Volume and Issue:
2(2), P. 1879 - 1879
Published: Nov. 20, 2024
Owing
to
current
growing
demands
of
environmental
friendly
energy
devices,
innumerable
green
materials/nanomaterials
have
been
applied
design
the
desired
high
tech
devices.
Amongst
supercapacitors
ranked
distinctively
for
efficient
storage
competence.
Principally,
nanocomposites
derived
from
or
ecological
polymers
and
nanoparticles
scrutinized
supercapacitor
components.
Concerning
this,
review
has
planned
sketch
application
nanocomposites,
predominantly
supercapacitors.
In
this
concern,
mostly
synthetic
(such
as
polyaniline,
polypyrrole,
etc.)
their
blends
with
natural
(like
chitosan)
having
fine
biodegradability,
non-toxicity,
low
cost,
superior
device
end
performance
found
noteworthy
materials.
Additionally,
nanofillers
like
carbon
(carbon
nanotube,
graphene,
metal
processed
via
techniques,
in
situ,
solution,
sonication,
mixing,
hydrothermal,
exfoliation,
reduction,
etc.,
form
anticipated
consequence,
designed
expectedly
had
advantages
price/weight,
mechanical/heat
resilience,
electron
transference,
capacitance,
power/charge
density,
charge-discharge,
sustainability
well
environmentally
friendliness
related
methodological
systems.
Incidentally,
challenges
towards
devices
conversed.
Water,
Journal Year:
2025,
Volume and Issue:
17(1), P. 85 - 85
Published: Jan. 1, 2025
Increasing
numbers
of
emerging
contaminants
(ECs)
detected
in
water
environments
require
a
detailed
understanding
these
chemicals’
fate,
distribution,
transport,
and
risk
aquatic
ecosystems.
Modeling
is
useful
approach
for
determining
ECs’
characteristics
their
behaviors
environments.
This
article
proposes
systematic
taxonomy
EC
models
addresses
gaps
the
comprehensive
analysis
applications.
The
reviewed
include
conventional
quality
models,
multimedia
fugacity
machine
learning
(ML)
models.
Conventional
have
higher
prediction
accuracy
spatial
resolution;
nevertheless,
they
are
limited
functionality
can
only
be
used
to
predict
contaminant
concentrations
Fugacity
excellent
at
depicting
how
travel
between
different
environmental
media,
but
cannot
directly
analyze
variations
parts
same
media
because
model
assumes
that
constant
within
compartment.
Compared
other
ML
applied
more
scenarios,
such
as
identification
assessments,
rather
than
being
confined
concentrations.
In
recent
years,
with
rapid
development
artificial
intelligence,
surpassed
becoming
one
newest
hotspots
study
ECs.
primary
challenge
faced
by
outcomes
difficult
interpret
understand,
this
influences
practical
value
an
some
extent.
