Article

Data-science driven autonomous process optimization

2020-11-03

Abstract excerpt

Autonomous process optimization involves the human intervention-free exploration of a range of pre-defined process parameters in order to improve responses such as reaction yield and product selectivity. Utilizing off-the-shelf components, we developed a closed-loop system capable of carrying out parallel autonomous process optimization experiments in batch with significantly reduced cycle times. Upon implem...

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Literature Corpus work: 5a8e4195-e51d-55f2-834f-3e29ad61d95c
DOI: 10.26434/chemrxiv.13146404.v2

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