Understanding Free-Energy Landscapes in Electrocatalysis: A Case Study on Nitrate Reduction over Au(111)
ACS electrochemistry.,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Feb. 25, 2025
Free-energy
landscapes
are
essential
tools
in
electrocatalysis
for
assessing
catalyst
activity
and
selectivity
of
proton-coupled
electron
transfer
steps.
It
is
a
common
approach
to
focus
on
the
thermodynamic
part
free-energy
landscape
refer
only
reaction
intermediates,
which
turn
leads
results
being
highly
dependent
accuracy
calculated
binding
energies
adsorbed
intermediates.
Since
evaluation
electrocatalytic
processes
solid
surfaces
usually
requires
density
functional
theory
calculations
(DFT)
with
periodic
boundary
conditions,
free
energy
reference
molecules
relevant
binding-energy
determination
subject
an
inherent
error.
For
this
purpose,
gas-phase
error
corrections
have
been
introduced
recent
years,
allow
correction
DFT
error,
based
assessment
formation
enthalpies,
by
assigning
double
or
triple
bonds
molecules.
In
contribution,
we
present
simple
unbiased
errors:
do
not
distinguish
between
bond
order
but
correct
all
single,
double,
referring
atomization
compounds.
We
employ
our
nitrate
reduction
Au(111)
as
case
study,
using
different
levels
exchange–correlation
functionals
generalized
gradient
meta-generalized
approximation.
shown
that
inclusion
well
solvation
ion
significantly
affects
energetics
predictions
descriptor-based
analysis,
highlighting
importance
correcting
DFT-based
gaining
reliable
insights
into
systems.
Language: Английский
Data-driven discovery of single-atom catalysts for CO2 reduction considering the pH-dependency at the reversible hydrogen electrode scale
Yue Chu,
No information about this author
Yuhang Wang,
No information about this author
Di Zhang
No information about this author
et al.
The Journal of Chemical Physics,
Journal Year:
2025,
Volume and Issue:
162(17)
Published: May 2, 2025
The
electrochemical
carbon
dioxide
reduction
reaction
(CO2RR)
represents
a
promising
approach
to
mitigating
climate
change
and
addressing
energy
challenges
by
converting
CO2
into
value-added
chemicals.
Among
various
CO2RR
products,
CO
is
attractive
due
its
economic
viability
industrial
relevance.
By
integrating
large-scale
data
mining
(with
939
experimental
performance
data),
we
reveal
that
the
catalytic
of
d-block
transition
metal-based
single-atom
catalysts
(SACs)
for
influenced
not
only
coordination
environment
but
also
significantly
pH.
However,
unified
model
could
accurately
depict
pH-dependent
activity
SACs
urgently
needed.
Herein,
conducted
microkinetic
modeling
based
upon
density
functional
theory
calculations
pH-electric
field
coupled
analyze
101
SACs.
Our
data-driven
screening
identifies
12
high-performance
with
selectivity
across
different
pH
conditions,
primarily
on
Fe,
Cu,
Ni
centers.
We
establish
scaling
relation
between
key
intermediates
(*COOH
*CO)
their
adsorption
behaviors
under
varying
conditions.
Furthermore,
our
reveals
critical
role
electric
effects
in
determining
performance,
aligning
well
turnover
frequency
values.
Most
importantly,
theoretical
captures
CO2RR-to-CO
SACs,
which
experimentally
validated
serves
as
general
framework
rational
design
catalysts.
Based
this
model,
identify
series
M–N–C
catalysts,
providing
universal
principle
optimizing
CO2-to-CO
conversion.
Language: Английский
Aromaticity monitoring during the donor-acceptor coordination of pyrosilicate, pyrophosphate, and pyrosulfate anions to a new designed anion receptor
Phosphorus, sulfur, and silicon and the related elements,
Journal Year:
2025,
Volume and Issue:
unknown, P. 1 - 10
Published: April 16, 2025
Language: Английский
Divergent Activity Shifts of Tin‐Based Catalysts for Electrochemical CO2 Reduction: pH‐Dependent Behavior of Single‐Atom versus Polyatomic Structures
Angewandte Chemie International Edition,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Nov. 28, 2024
Tin
(Sn)-based
catalysts
have
been
widely
studied
for
electrochemical
CO
Language: Английский
Divergent Activity Shifts of Tin‐Based Catalysts for Electrochemical CO2 Reduction: pH‐Dependent Behavior of Single‐Atom versus Polyatomic Structures
Angewandte Chemie,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Nov. 28, 2024
Abstract
Tin
(Sn)‐based
catalysts
have
been
widely
studied
for
electrochemical
CO
2
reduction
reaction
(CO
RR)
to
produce
formic
acid,
but
the
intricate
influence
of
structural
sensitivity
in
single‐atom
Sn
(e.g.,
Sn−N−C)
and
polyatomic
SnO
x
SnS
;
=1,2)
on
their
pH‐dependent
performance
remains
enigmatic.
Herein,
we
integrate
large‐scale
data
mining
(with
>2,300
RR
from
available
experimental
literature
during
past
decade),
ab
initio
computations,
machine
learning
force
field
accelerated
molecular
dynamic
simulations,
pH‐field
coupled
modelling
unravel
pH
dependence.
We
reveal
a
fascinating
contrast:
electric
response
binding
strength
*OCHO
Sn−N
4
−C
exhibits
opposite
behaviors
due
differing
dipole
moment
changes
upon
formation.
Such
leads
an
intriguing
volcano
evolution
Sn.
Subsequent
validations
turnover
frequency
current
density
under
both
neutral
alkaline
conditions
well
aligned
with
our
theoretical
predictions.
Most
importantly,
analysis
suggests
necessity
distinct
optimization
strategies
energy
different
types
Sn‐based
catalysts.
Language: Английский
Design Criteria for Active and Selective Catalysts in the Nitrogen Oxidation Reaction
Muhammad Usama,
No information about this author
Samad Razzaq,
No information about this author
Kai S. Exner
No information about this author
et al.
ACS Physical Chemistry Au,
Journal Year:
2024,
Volume and Issue:
5(1), P. 38 - 46
Published: Dec. 24, 2024
The
direct
conversion
of
dinitrogen
to
nitrate
is
a
dream
reaction
combine
the
Haber–Bosch
and
Ostwald
processes
as
well
steam
reforming
using
electrochemistry
in
single
process.
Regrettably,
corresponding
nitrogen
oxidation
(NOR)
hampered
by
selectivity
problem,
since
oxygen
evolution
(OER)
both
thermodynamically
kinetically
favored
same
potential
range.
This
opens
search
for
identification
active
selective
NOR
catalysts
enable
production
under
anodic
conditions.
While
theoretical
considerations
computational
hydrogen
electrode
approach
have
helped
identifying
material
motifs
electrocatalytic
reactions
over
last
decades,
inherent
complexity
NOR,
which
consists
ten
proton-coupled
electron
transfer
steps
thus
at
least
nine
intermediate
states,
poses
challenge
electronic
structure
theory
calculations
realm
materials
screening.
To
this
end,
we
present
different
strategy
capture
competing
OER
atomic
scale.
Using
data-driven
method,
provide
framework
derive
generalized
design
criteria
with
toward
NOR.
leads
significant
reduction
costs,
only
two
free-energy
changes
need
be
evaluated
draw
first
conclusion
on
selectivity.
Language: Английский