Natural language access point to digital metal–organic polyhedra chemistry in The World Avatar
Data-Centric Engineering,
Journal Year:
2025,
Volume and Issue:
6
Published: Jan. 1, 2025
Abstract
Metal–organic
polyhedra
(MOPs)
are
discrete,
porous
metal–organic
assemblies
known
for
their
wide-ranging
applications
in
separation,
drug
delivery,
and
catalysis.
As
part
of
The
World
Avatar
(TWA)
project—a
universal
interoperable
knowledge
model—we
have
previously
systematized
MOPs
expanded
the
explorable
MOP
space
with
novel
targets.
Although
these
data
available
via
a
complex
query
language,
more
user-friendly
interface
is
desirable
to
enhance
accessibility.
To
address
similar
challenge
other
chemistry
domains,
natural
language
question-answering
system
“Marie”
has
been
developed;
however,
its
scalability
limited
due
reliance
on
supervised
fine-tuning,
which
hinders
adaptability
new
domains.
In
this
article,
we
introduce
an
enhanced
database
first-of-its-kind
tailored
chemistry.
By
augmenting
TWA’s
geometry
data,
enable
visualization
not
just
empirically
verified
structures
but
also
machine-predicted
ones.
addition,
renovated
Marie’s
semantic
parser
adopt
in-context
few-shot
learning,
allowing
seamless
interaction
extensive
repository.
These
advancements
significantly
improve
accessibility
versatility
TWA,
marking
important
step
toward
accelerating
automating
development
reticular
materials
aid
digital
assistants.
Language: Английский
Humanoid robotics in material and chemistry experiments
Yao Xu,
No information about this author
Wentao Yang,
No information about this author
Wenguang Tu
No information about this author
et al.
Science China Materials,
Journal Year:
2025,
Volume and Issue:
unknown
Published: May 28, 2025
Language: Английский
The Digital Lab Facility Manager: Automating operations of research laboratories through “The World Avatar”
Deleted Journal,
Journal Year:
2024,
Volume and Issue:
1(3), P. 100031 - 100031
Published: Aug. 27, 2024
Language: Английский
The digital lab manager: Automating research support
SLAS TECHNOLOGY,
Journal Year:
2024,
Volume and Issue:
29(3), P. 100135 - 100135
Published: May 3, 2024
Laboratory
management
automation
is
essential
for
achieving
interoperability
in
the
domain
of
experimental
research
and
accelerating
scientific
discovery.
The
integration
resources
sharing
knowledge
across
organisations
enable
discoveries
to
be
accelerated
by
increasing
productivity
laboratories,
optimising
funding
efficiency,
addressing
emerging
global
challenges.
This
paper
presents
a
novel
framework
digitalising
automating
administration
laboratories
through
World
Avatar,
an
all-encompassing
dynamic
graph.
Digital
Framework
serves
as
flexible
tool,
enabling
users
efficiently
leverage
data
from
diverse
systems
formats
without
being
confined
specific
software
or
protocol.
Establishing
dedicated
ontologies
agents
combining
them
with
technologies
such
QR
codes,
RFID
tags,
mobile
apps,
enabled
us
develop
modular
applications
that
tackle
some
key
challenges
related
lab
management.
Here,
we
showcase
automated
tracking
intervention
system
explosive
chemicals
well
easy-to-use
application
asset
information
retrieval.
Implementing
these,
have
achieved
semantic
linking
BIM
BMS
laboratory
inventory
chemical
knowledge.
Our
approach
can
capture
crucial
points
reduce
processing
time.
All
provenance
recorded
following
FAIR
principles,
ensuring
its
accessibility
interoperability.
Language: Английский
Reducing education inequalities through cloud-enabled live-cell biotechnology
Trends in biotechnology,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Aug. 1, 2024
Biotechnology
holds
the
potential
to
drive
innovations
across
various
fields
from
agriculture
medicine.
However,
despite
numerous
interventions,
biotechnology
education
remains
highly
unequal
worldwide.
Historically,
high
costs
and
exposure
hazardous
materials
have
hindered
education.
Integration
of
cloud
technologies
into
classrooms
has
emerged
as
an
alternative
solution
that
is
already
enabling
experiments
reach
thousands
students
globally.
We
describe
several
collectively
facilitate
real-time
experimentation
in
remote
locations.
These
advances
enable
access
scientific
data
live
experiments,
promote
collaborative
research,
ensure
educational
inclusivity.
propose
cloud-enabled
live-cell
a
mechanism
for
reducing
inequalities
promoting
sustainable
development.
Language: Английский
Modeling Enzyme Kinetics: Current Challenges and Future Perspectives for Biocatalysis
Biochemistry,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Sept. 26, 2024
Biocatalysis
is
becoming
a
data
science.
High-throughput
experimentation
generates
rapidly
increasing
stream
of
biocatalytic
data,
which
the
raw
material
for
mechanistic
and
novel
data-driven
modeling
approaches
predictive
design
improved
biocatalysts
bioprocesses.
The
holistic
molecular
understanding
enzymatic
reaction
systems
will
enable
us
to
identify
overcome
kinetic
bottlenecks
shift
thermodynamics
reaction.
full
characterization
community
effort;
therefore,
published
methods
results
should
be
findable,
accessible,
interoperable,
reusable
(FAIR),
achieved
by
developing
standardized
exchange
formats,
complete
reproducible
documentation
experimentation,
collaborative
platforms
sustainable
software
analyzing
repositories
publishing
together
with
data.
FAIRification
biocatalysis
prerequisite
highly
automated
laboratory
infrastructures
that
improve
reproducibility
scientific
reduce
time
costs
required
develop
synthesis
routes.
Language: Английский