How do lab-in-the-loop ML systems learn most efficiently?
How can you pack as much information as possible into an experiment?
We explored this in our new preprint “Information-Dense Synthesis for Molecular Discovery” (arxiv.org/abs/2610.08495).
arxiv.org
Information-Dense Synthesis for Molecular Discovery
Machine learning can accelerate molecular discovery by designing molecules and planning experiments. However, many scientific challenges demand molecules with very rare properties, and in this sparse ...