Nature Communications,
Год журнала:
2022,
Номер
13(1)
Опубликована: Фев. 28, 2022
Achieving
autonomous
multi-step
synthesis
of
novel
molecular
structures
in
chemical
discovery
processes
is
a
goal
shared
by
many
researchers.
In
this
Comment,
we
discuss
key
considerations
what
an
ideal
platform
may
look
like
and
the
apparent
state
art.
While
most
hardware
challenges
can
be
overcome
with
clever
engineering,
other
will
require
advances
both
algorithms
data
curation.
Journal of the American Chemical Society,
Год журнала:
2022,
Номер
144(32), С. 14722 - 14730
Опубликована: Авг. 8, 2022
Synthetic
yield
prediction
using
machine
learning
is
intensively
studied.
Previous
work
has
focused
on
two
categories
of
data
sets:
high-throughput
experimentation
data,
as
an
ideal
case
study,
and
sets
extracted
from
proprietary
databases,
which
are
known
to
have
a
strong
reporting
bias
toward
high
yields.
However,
predicting
yields
published
reaction
remains
elusive.
To
fill
the
gap,
we
built
set
nickel-catalyzed
cross-couplings
organic
publications,
including
scope
optimization
information.
We
demonstrate
importance
source
failed
experiments
emphasize
how
publication
constraints
shape
exploration
chemical
space
by
synthetic
community.
While
models
still
fail
perform
out-of-sample
predictions,
this
shows
that
adding
knowledge
enables
fair
predictions
in
low-data
regime.
Eventually,
hope
unique
public
database
will
foster
further
improvements
methods
for
more
realistic
context.
Angewandte Chemie International Edition,
Год журнала:
2022,
Номер
61(28)
Опубликована: Июнь 13, 2022
Light-driven
homogeneous
and
heterogeneous
catalysis
require
a
complex
interplay
between
light
absorption,
charge
separation,
transfer,
catalytic
turnover.
Optical
irradiation
parameters
as
well
reaction
engineering
aspects
play
major
roles
in
controlling
performance.
This
multitude
of
factors
makes
it
difficult
to
objectively
compare
light-driven
catalysts
provide
an
unbiased
performance
assessment.
Scientific
Perspective
highlights
the
importance
collecting
reporting
experimental
data
catalysis.
A
critical
analysis
benefits
limitations
commonly
used
indicators
is
provided.
Data
collection
according
FAIR
principles
discussed
context
future
automated
analysis.
The
authors
propose
minimum
dataset
basis
for
unified
community
encouraged
support
development
this
parameter
list
through
open
online
repository.
Nature Communications,
Год журнала:
2022,
Номер
13(1)
Опубликована: Фев. 28, 2022
Achieving
autonomous
multi-step
synthesis
of
novel
molecular
structures
in
chemical
discovery
processes
is
a
goal
shared
by
many
researchers.
In
this
Comment,
we
discuss
key
considerations
what
an
ideal
platform
may
look
like
and
the
apparent
state
art.
While
most
hardware
challenges
can
be
overcome
with
clever
engineering,
other
will
require
advances
both
algorithms
data
curation.