Self-driving laboratories for chemistry and materials science
Self-driving laboratories (SDLs) promise an accelerated application of the scientific method.
Through the automation of experimental workflows, along with autonomous experimental …
Through the automation of experimental workflows, along with autonomous experimental …
A field guide to flow chemistry for synthetic organic chemists
Flow chemistry has unlocked a world of possibilities for the synthetic community, but the idea
that it is a mysterious “black box” needs to go. In this review, we show that several of the …
that it is a mysterious “black box” needs to go. In this review, we show that several of the …
ChemCrow: Augmenting large-language models with chemistry tools
AM Bran, S Cox, O Schilter, C Baldassari… - ar** efficient catalysts for syngas-based higher alcohol synthesis (HAS) remains a
formidable research challenge. The chain growth and CO insertion requirements demand …
formidable research challenge. The chain growth and CO insertion requirements demand …
Self-driving laboratory for polymer electronics
Owing to the chemical pluripotency and viscoelastic nature of electronic polymers, polymer
electronics have shown unique advances in many emerging applications such as skin-like …
electronics have shown unique advances in many emerging applications such as skin-like …
Rapid planning and analysis of high-throughput experiment arrays for reaction discovery
High-throughput experimentation (HTE) is an increasingly important tool in reaction
discovery. While the hardware for running HTE in the chemical laboratory has evolved …
discovery. While the hardware for running HTE in the chemical laboratory has evolved …
Continuous flow synthesis of pyridinium salts accelerated by multi-objective Bayesian optimization with active learning
We report a human-in-the-loop implementation of the multi-objective experimental design
via a Bayesian optimization platform (EDBO+) towards the optimization of butylpyridinium …
via a Bayesian optimization platform (EDBO+) towards the optimization of butylpyridinium …
Autonomous, multiproperty-driven molecular discovery: From predictions to measurements and back
A closed-loop, autonomous molecular discovery platform driven by integrated machine
learning tools was developed to accelerate the design of molecules with desired properties …
learning tools was developed to accelerate the design of molecules with desired properties …