Active Reaction Control of Cu Redox State Based on Real-Time Feedback from in Situ Synchrotron Measurements

Yevgeny Rakita, Daniel O'Nolan, Rebecca D. McAuliffe, Gabriel M. Veith, Peter J. Chupas, Simon J.L. Billinge, Karena W. Chapman

Research output: Contribution to journalArticlepeer-review

Abstract

We achieve a target material state by using a recursive algorithm to control the material reaction based on real-time feedback on the system chemistry from in situ X-ray absorption spectroscopy. Without human intervention, the algorithm controlled O2:H2 gas partial pressures to approach a target average Cu oxidation state of 1+ for γ-Al2O3-supported Cu. This approach represents a new paradigm in autonomation for materials discovery and synthesis optimization; instead of iterating the parameters following the conclusion of each of a series of reactions, the iteration cycle has been scaled down to time points during an individual reaction. Application of the proof-of-concept illustrated here, using a feedback loop to couple in situ material characterization and the reaction conditions via a decision-making algorithm, can be readily envisaged in optimizing and understanding a broad range of systems including catalysis.

Original languageAmerican English
Pages (from-to)18758-18762
Number of pages5
JournalJournal of the American Chemical Society
Volume142
Issue number44
DOIs
StatePublished - 4 Nov 2020
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • General Chemistry
  • Biochemistry
  • Catalysis
  • Colloid and Surface Chemistry

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