A Multiagent-Driven Robotic AI Chemist Enabling Autonomous Chemical Research On Demand
Journal of the American Chemical Society,
Год журнала:
2025,
Номер
unknown
Опубликована: Март 8, 2025
The
successful
integration
of
large
language
models
(LLMs)
into
laboratory
workflows
has
demonstrated
robust
capabilities
in
natural
processing,
autonomous
task
execution,
and
collaborative
problem-solving.
This
offers
an
exciting
opportunity
to
realize
the
dream
chemical
research
on
demand.
Here,
we
report
a
robotic
AI
chemist
powered
by
hierarchical
multiagent
system,
ChemAgents,
based
on-board
Llama-3.1-70B
LLM,
capable
executing
complex,
multistep
experiments
with
minimal
human
intervention.
It
operates
through
Task
Manager
agent
that
interacts
researchers
coordinates
four
role-specific
agents─Literature
Reader,
Experiment
Designer,
Computation
Performer,
Robot
Operator─each
leveraging
one
foundational
resources:
comprehensive
Literature
Database,
extensive
Protocol
Library,
versatile
Model
state-of-the-art
Automated
Lab.
We
demonstrate
its
versatility
efficacy
six
experimental
tasks
varying
complexity,
ranging
from
straightforward
synthesis
characterization
more
complex
exploration
screening
parameters,
culminating
discovery
optimization
functional
materials.
Additionally,
introduce
seventh
task,
where
ChemAgents
is
deployed
new
chemistry
lab
environment
autonomously
perform
photocatalytic
organic
reactions,
highlighting
ChemAgents's
scalability
adaptability.
Our
multiagent-driven
showcases
potential
on-demand
accelerate
democratize
access
advanced
across
academic
disciplines
industries.
Язык: Английский
Radiochemistry: A Hot Field with Opportunities for Cool Chemistry
ACS Central Science,
Год журнала:
2023,
Номер
9(12), С. 2183 - 2195
Опубликована: Ноя. 14, 2023
Recent
Food
and
Drug
Administration
(FDA)
approval
of
diagnostic
therapeutic
radiopharmaceuticals
concurrent
miniaturization
particle
accelerators
leading
to
improved
access
has
fueled
interest
in
the
development
chemical
transformations
suitable
for
short-lived
radioactive
isotopes
on
tracer
scale.
This
recent
renaissance
radiochemistry
is
paired
with
new
opportunities
study
fundamental
behavior
reactivity
elements
improve
their
production,
separation,
incorporation
into
bioactive
molecules
generate
radiopharmaceuticals.
outlook
outlines
pertinent
challenges
field
indicates
areas
opportunity
discovery
development,
including
those
clinically
established
(C-11,
F-18)
experimental
radionuclides
preclinical
across
periodic
table.
Язык: Английский
High-Throughput Enabled Iridium-Catalyzed C–H Borylation Platform for Late-Stage Functionalization
ACS Catalysis,
Год журнала:
2025,
Номер
15(4), С. 3525 - 3534
Опубликована: Фев. 12, 2025
In
this
work,
we
present
a
dedicated,
high-throughput
reaction
optimization
platform
allowing
for
the
rapid
evaluation
of
regiodivergent
C–H
borylation
protocols
while
minimizing
amount
starting
material
required.
The
workflow
was
applied
to
diverse
set
fragment-like
compounds,
pharmaceuticals,
and
agrochemicals,
its
practicality
demonstrated
by
successfully
isolating
36
derivatives
bioactive
compounds.
Leveraging
informer
library
approach,
provide
comprehensive,
side-by-side
comparison
catalytic
methods,
revealing
insights
into
strengths,
limitations,
versatility
each
protocol.
Surprising
reactivity
patterns,
effectiveness
ligand-free
borylation,
utility
previously
reported
directed
catalysts
outside
their
expected
substrate
scope
have
been
noticed.
This
study
highlights
potential
dedicated
platforms
expand
practical
late-stage
functionalization
pharmaceutical
agrochemical
research.
Язык: Английский
Highlight selection of radiochemistry and radiopharmacy developments by editorial board
EJNMMI Radiopharmacy and Chemistry,
Год журнала:
2024,
Номер
9(1)
Опубликована: Сен. 16, 2024
Abstract
Background
The
Editorial
Board
of
EJNMMI
Radiopharmacy
and
Chemistry
releases
a
biannual
highlight
commentary
to
update
the
readership
on
trends
in
field
radiopharmaceutical
development.
Main
body
This
selection
highlights
provides
19
different
topics
selected
by
each
coauthoring
member
addressing
variety
aspects
ranging
from
novel
radiochemistry
first-in-human
application
radiopharmaceuticals.
Conclusion
Trends
radiopharmacy
are
highlighted.
Hot
cover
entire
scope
Chemistry,
demonstrating
progress
research
many
aspects.
Язык: Английский
Notizen aus der Chemie
Nachrichten aus der Chemie,
Год журнала:
2024,
Номер
72(7-8), С. 52 - 55
Опубликована: Июль 1, 2024
Transition-Metal-Mediated Radiohalogenation using Aryl Boron Reagents
Synthesis,
Год журнала:
2024,
Номер
unknown
Опубликована: Сен. 30, 2024
Abstract
Biomolecules
labeled
with
radioisotopes
of
iodine
and
fluorine
play
a
major
role
in
science
medicine,
range
applications
including
molecular
imaging
disease,
as
radiopharmaceuticals
for
therapy
tools
drug
discovery.
Due
to
the
relative
stability
Csp2–halogen
bonds,
radioiodine
radiofluorine
labels
are
commonly
incorporated
into
tracers
via
arene
substitution.
The
wide
availability
aryl
boron
reagents
has
led
their
use
development
radioiodination
radiofluorination
methods,
particularly
using
transition-metal
complexes
accelerated
reactions.
Here,
we
review
transition-metal-mediated
methods
that
have
been
developed
radiohalogenation
compounds.
Applications
these
transformations
preparation
agents
new
technologies
advance
automated
synthesis
or
high-throughput
discovery
also
described.
1
Introduction
2
Radioiodination
Using
Aryl
Boron
Reagents
2.1
Copper-Mediated
Reactions
3
Radiofluorination
3.1
Palladium,
Nickel
Silver
Complexes
3.2
Copper
3.3
3.4
New
Technology
4
Conclusions
Язык: Английский
Advancing Rare-Earth (4f) and Actinide (5f) Separation through Machine Learning and Automated High-Throughput Experiments
ACS Sustainable Chemistry & Engineering,
Год журнала:
2024,
Номер
12(45), С. 16692 - 16699
Опубликована: Окт. 29, 2024
Identifying
improved
and
sustainable
alternatives
to
"classic"
separation
techniques
is
an
active
research
field
due
its
potential
widespread
impact
in
fundamental
applied
chemistry.
As
basic
purification
methodologies,
like
liquid-liquid
extraction,
undergo
continuous
refinement
by
chemists
engineers,
identifying
new
conditions
that
outperform
existing
can
be
difficult.
A
major
contributor
this
challenging
problem
the
need
explore
a
vast
experimental
space
identify
precise
optimize
procedure.
The
advent
of
artificial
intelligence
advancement
robotic
technologies
offer
shift
traditional
design
paradigm.
Toward
end,
we
combination
Bayesian
Optimization
high-throughput
experiments
on
extraction
thorium
(Th
Язык: Английский