Energy & Fuels,
Journal Year:
2024,
Volume and Issue:
38(3), P. 2033 - 2045
Published: Jan. 9, 2024
Machine
learning
(ML)
has
been
extensively
studied
and
applied
in
the
biomass
gasification
field
currently.
However,
insufficient
experimental
data
tends
to
cause
a
mismatch
between
ML
model
physical
mechanism,
particularly
for
feedstocks
that
do
not
appear
training
set,
becoming
significant
challenge
creating
credible
models
gasification.
Therefore,
this
study
proposes
disentangled
representation-aided
physics-informed
neural
network
method,
briefly
called
DR-PINN,
predict
syngas
components.
First,
DR-PINN
extracts
latent
variables
represent
feedstock
properties
through
representation
generates
synthetic
samples
gasification-related
variable
space
cover
full
range
of
types.
Then,
employs
inequality
constraints
embed
priori
monotonic
relationships
into
loss
function.
Finally,
are
simultaneously
considered
process
realize
synergy
complementarity
actual
information
existing
knowledge
using
an
evolutionary
algorithm.
As
result,
shows
good
prediction
performance
(the
within
set:
R2
≈
0.96,
root-mean-square
error
(RMSE)
1.7;
outside
0.81,
RMSE
3).
Moreover,
even
with
can
strictly
abide
by
prior
relationships,
consistency
degree
equal
1.
Overall,
proposed
demonstrates
superior
generalization
interpretability
compared
other
methods,
such
as
RF,
GBR,
SVM,
ANN,
PINN.
Heliyon,
Journal Year:
2023,
Volume and Issue:
9(8), P. e18763 - e18763
Published: July 27, 2023
Global
attention
has
shifted
in
recent
years
to
climate
change
and
global
warming.
The
international
community
set
the
objective
of
carbon
neutrality
address
crisis.
Carbon
drawn
significant
as
a
crucial
step
fight
against
change,
with
individual
nations
having
established
their
targets.
This
paper
aims
use
bibliometric
analysis
investigate
research
hotspots
trends
research,
accesses
literature
through
Web
Science
(WoS)
core
database
undertakes
an
in-depth
examination
909
publications
linked
around
world
using
Vosviewer
Bibliometrix
software.
According
findings,
number
increased
dramatically
years.
There
are
also
notable
differences
across
countries
regions.
China
US
primary
drivers
leaders
developing
have
relatively
little
research.
Research
concentrated
on
neutrality's
practical,
technical,
policy,
economic
aspects,
well
renewable
energy
sources,
conversion
technologies,
capture
storage
technologies
hotspots.
outlines
opportunities
for
advancement
future,
including
how
it
might
be
further
integrated
Artificial
intelligence
(AI)
metaverse,
attack
difficulties
uncertainties
faced
by
post-epidemic
rebound.
study
aids
understanding
current
state
field
can
used
guide
future
studies.
Fire,
Journal Year:
2024,
Volume and Issue:
7(7), P. 233 - 233
Published: July 3, 2024
Hydrogen
(H2)
is
considered
a
suitable
substitute
for
conventional
energy
sources
because
it
abundant
and
environmentally
friendly.
However,
the
widespread
adoption
of
H2
as
an
source
poses
several
challenges
in
production,
storage,
safety,
transportation.
Recent
efforts
to
address
these
have
focused
on
improving
efficiency
cost-effectiveness
production
methods,
developing
advanced
storage
technologies
ensure
safe
handling
transportation
H2,
implementing
comprehensive
safety
protocols.
Furthermore,
are
being
made
integrate
into
existing
infrastructure
explore
new
opportunities
its
application
various
sectors
such
transportation,
industry,
residential
applications.
Overall,
recent
developments
opened
avenues
clean
sustainable
source.
This
review
highlights
potential
solutions
overcome
associated
with
Additionally,
discusses
achieve
carbon-neutral
society
reduce
dependence
fossil
fuels.
Small,
Journal Year:
2023,
Volume and Issue:
19(41)
Published: June 12, 2023
Rational
design
and
development
of
highly
efficient
hydrogen
evolution
reaction
(HER)
electrocatalysts
is
great
significance
for
the
green
water
electrolysis
production
technology.
Ru-engineered
1D
PtCo-Ptrich
nanowires
(Ru-Ptrich
Co
NWs)
are
fabricated
by
a
facile
electrodeposition
method.
The
rich
Pt
surface
on
Pt3
contributes
to
fully
exposed
active
sites
enhanced
intrinsic
catalytic
activity
(co-engineered
Ru
atoms)
HER.
incorporation
atoms
can
not
only
accelerate
dissociation
in
alkaline
condition
provide
sufficient
H*
but
also
modulate
electronic
structure
achieve
optimized
adsorption
energy.
As
result,
Ru-Ptrich
NWs
have
exhibited
ultralow
HER
overpotentials
(η)
8
112
mV
current
densities
10
100
mA
cm-2
1
m
KOH,
respectively,
which
far
exceed
those
commercial
Pt/C
catalyst
(η10
=
29
mV,
η100
206
mV).
Density
functional
theory
(DFT)
calculations
further
demonstrate
that
incorporated
possess
strong
capacity
(-0.52
vs
-0.12
eV
Pt),
facilitating
dissociation.
outermost
Pt-rich
skin
free
energy
(ΔGH*
)
-0.08
eV,
boosting
generation.
