Toward machine learning-enhanced high-throughput experimentation for chemistry.

Callaghan, Sarah · Patterns (N Y) · 2021

basic_science · Level V

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Abstract

High-throughput experimentation in chemistry allows for quick and automated exploration of chemical space to, for example, discover new drugs. Combining machine learning techniques with high-throughput experimentation has the potential to speed up and improve chemical space exploration and optimization.