Role of the human-in-the-loop in emerging self-driving laboratories for heterogeneous catalysis
Nature Catalysis,
Год журнала:
2025,
Номер
8(1), С. 13 - 19
Опубликована: Янв. 29, 2025
Язык: Английский
Artificial Intelligence Meets Laboratory Automation in Discovery and Synthesis of Metal–Organic Frameworks: A Review
Industrial & Engineering Chemistry Research,
Год журнала:
2025,
Номер
64(9), С. 4637 - 4668
Опубликована: Фев. 24, 2025
This
review
discusses
the
transformative
impact
of
convergence
artificial
intelligence
(AI)
and
laboratory
automation
on
discovery
synthesis
metal–organic
frameworks
(MOFs).
MOFs,
known
for
their
tunable
structures
extensive
applications
in
fields
such
as
energy
storage,
drug
delivery,
environmental
remediation,
pose
significant
challenges
due
to
complex
processes
high
structural
diversity.
Laboratory
has
streamlined
repetitive
tasks,
enabled
high-throughput
screening
reaction
conditions,
accelerated
optimization
protocols.
The
integration
AI,
particularly
Transformers
large
language
models
(LLMs),
further
revolutionized
MOF
research
by
analyzing
massive
data
sets,
predicting
material
properties,
guiding
experimental
design.
emergence
self-driving
laboratories
(SDLs),
where
AI-driven
decision-making
is
coupled
with
automated
experimentation,
represents
next
frontier
research.
While
remain
fully
realizing
potential
this
synergistic
approach,
AI
heralds
a
new
era
efficiency
innovation
engineering
materials.
Язык: Английский
Intelligent Systems for Inorganic Nanomaterial Synthesis
Nanomaterials,
Год журнала:
2025,
Номер
15(8), С. 631 - 631
Опубликована: Апрель 21, 2025
Inorganic
nanomaterials
are
pivotal
foundational
materials
driving
traditional
industries’
transformation
and
emerging
sectors’
evolution.
However,
their
industrial
application
is
hindered
by
the
limitations
of
conventional
synthesis
methods,
including
poor
batch
stability,
scaling
challenges,
complex
quality
control
requirements.
This
review
systematically
examines
strategies
for
constructing
automated
systems
to
enhance
production
efficiency
inorganic
nanomaterials.
Methodologies
encompassing
hardware
architecture
design,
software
algorithm
optimization,
artificial
intelligence
(AI)-enabled
intelligent
process
analyzed.
Case
studies
on
quantum
dots
gold
nanoparticles
demonstrate
enhanced
closed-loop
machine
learning-enabled
autonomous
optimization
parameters.
The
study
highlights
critical
role
automation,
technologies,
human–machine
collaboration
in
elucidating
mechanisms.
Current
challenges
cross-scale
mechanistic
modeling,
high-throughput
experimental
integration,
standardized
database
development
discussed.
Finally,
prospects
AI-driven
envisioned,
emphasizing
potential
accelerate
novel
material
discovery
revolutionize
nanomanufacturing
paradigms
within
framework
AI-plus
initiatives.
Язык: Английский
Metadata Management and Its Role in Data Governance
IGI Global eBooks,
Год журнала:
2025,
Номер
unknown, С. 47 - 72
Опубликована: Март 14, 2025
Modern
data
governance
would
lack
a
necessary
layer
of
structure
and
clarity
for
the
large
always-shifting
digital
information
environment
without
metadata
management.
Translating
as
“data
about
data,”
term
“metadata”
has
many
uses
in
different
fields,
including
healthcare,
banking,
e-commerce,
where
it
encourages
creativity
by
improving
operational
efficiency
compliance.
Including
procedural,
structural,
descriptive,
administrative
helps
to
provide
informed
decisions,
traceability,
interoperability.
contemporary
software
systems
trace
lineage
real-time
analytics,
thereby
enhancing
storage,
access,
consumption.
Metadata
is
essential
DevSecOps
match
security
compliance
with
ongoing
development
cycles.
Data
mesh
fabric
are
two
frameworks
displaying
metadata-driven
decentralization
that
improve
analytics
collaboration.
Businesses
want
succeed
age
satisfy
legal
technological
criteria
have
be
masters
Язык: Английский
Revolutionizing Scientific Research
Advances in computational intelligence and robotics book series,
Год журнала:
2025,
Номер
unknown, С. 1 - 24
Опубликована: Апрель 24, 2025
This
chapter
analyzes
the
transformative
impact
of
artificial
intelligence
(AI)
and
metaverse
on
contemporary
scientific
study.
It
emphasizes
how
AI
improves
data
analysis,
allowing
researchers
to
quickly
examine
extensive
datasets
extract
previously
challenging
insights.
in
promotes
collaborative
settings,
enabling
academics
participate
real-time
exchanges
interdisciplinary
initiatives.
collaboration
enhances
research
methods
fosters
innovation
originality
exploration.
The
examines
ethical
ramifications
modern
technologies,
underscoring
necessity
for
responsible
management
study
integrity.
As
advance,
they
are
poised
transform
study,
presenting
novel
opportunities
difficulties
scholars.
Adopting
these
developments
will
be
essential
tackling
intricate
worldwide
challenges
furthering
understanding
diverse
domains.
Язык: Английский
Integration of artificial intelligence and sustainable energy management in the pulp and paper industry: A path to decarbonization
Renewable and Sustainable Energy Reviews,
Год журнала:
2025,
Номер
218, С. 115809 - 115809
Опубликована: Май 2, 2025
Язык: Английский
Approaches and perspectives on the transition to the circular economy in the European Union
Frontiers in Environmental Science,
Год журнала:
2025,
Номер
13
Опубликована: Март 4, 2025
Introduction
The
transition
to
a
circular
economy
is
key
pillar
of
European
sustainable
development.
However,
in
the
current
context,
shaped
by
multiple
crises
and
geopolitical
conflicts,
efficiency
resilience
this
are
particular
concern.
policymakers
national
authorities
must
adapt
their
approaches
mitigate
risks
posed
external
factors
while
ensuring
progress
towards
sustainability
goals.
This
study
analyzes
from
2010
2022,
assessing
economic
environmental
variables.
Methods
employs
an
econometric
approach
using
panel
data
27
EU
Member
States.
A
linear
regression
model
with
fixed
effects
applied
alongside
spectral
analysis
descriptive
statistics
examine
relationships
between
private
investment,
gross
value
added,
municipal
waste
recycling
rates,
recyclable
material
flows,
greenhouse
gas
emissions.
These
methods
allow
for
in-depth
evaluation
influencing
transition.
Results
Findings
indicate
that
investment
integration
materials
significantly
enhance
economy.
varies
across
States
due
regional
disparities,
inadequate
infrastructure,
inefficient
management.
High-emission
countries
face
greater
challenges
achieving
targets,
demonstrating
need
tailored
resilient
policy
measures.
Discussion
results
highlight
necessity
public
policies
promote
attractiveness
sectors,
reduce
improve
management
infrastructure.
Additionally,
emphasizes
importance
coordinated
region-specific
accelerate
By
integrating
seasonal
analyses,
research
contributes
literature
offering
nuanced
understanding
affecting
progress.
insights
valuable
supranational
developing
effective
strategies
at
level.
Язык: Английский
PEPR DIADEM: Priority Equipment and Research Program on the development of innovative materials using artificial intelligence
Computational and Structural Biotechnology Journal,
Год журнала:
2024,
Номер
25, С. 186 - 193
Опубликована: Сен. 26, 2024
Язык: Английский
Synthesis‐Structure‐Property of High‐Entropy Layered Oxide Cathode for Li/Na/K‐Ion Batteries
Advanced Materials,
Год журнала:
2024,
Номер
unknown
Опубликована: Ноя. 22, 2024
Abstract
Increasing
demand
for
rechargeable
batteries
necessitates
improvements
in
electrochemical
performance.
Traditional
optimal
approaches
such
as
elemental
doping
and
surface
modification
are
insufficient
practical
applications
of
the
batteries.
High‐entropy
materials
(HEMs)
possess
stable
solid‐state
phases
unparalleled
flexibility
composition
electronic
structure,
which
facilitate
rapid
advancements
battery
materials.
This
review
demonstrates
properties
HEMs
both
qualitatively
quantitatively,
mechanisms
their
enhancement
on
properties.
It
also
illustrates
progress
high‐entropy
layered
oxide
cathode
(HELOs)
lithium/sodium/potassium
ion
(LIBs/SIBs/PIBs)
perspectives
synthesis,
characterization
application,
elucidating
synthesis‐structure‐property
relationship.
Furthermore,
it
outlines
future
directions
strategies
study:
precise
synthesis
control,
understanding
reaction
through
structural
characterization,
elucidation
structure‐performance
correlations,
computational
experimental
methods
integration
screening
analysis
HEMs.
The
perspective
aims
to
inspire
researchers
development
high‐performance
Язык: Английский