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Continuous flow synthesis of pyridinium salts accelerated by multi-objective Bayesian optimization with active learning.
Dunlap, John H; Ethier, Jeffrey G; Putnam-Neeb, Amelia A; Iyer, Sanjay; Luo, Shao-Xiong Lennon; Feng, Haosheng; Garrido Torres, Jose Antonio; Doyle, Abigail G; Swager, Timothy M; Vaia, Richard A; Mirau, Peter; Crouse, Christopher A; Baldwin, Luke A.
Affiliation
  • Dunlap JH; Materials and Manufacturing Directorate, Air Force Research Laboratory Wright-Patterson AFB OH 45433 USA luke.baldwin.1@us.af.mil.
  • Ethier JG; UES, Inc. Dayton OH 45431 USA.
  • Putnam-Neeb AA; Materials and Manufacturing Directorate, Air Force Research Laboratory Wright-Patterson AFB OH 45433 USA luke.baldwin.1@us.af.mil.
  • Iyer S; UES, Inc. Dayton OH 45431 USA.
  • Luo SL; Materials and Manufacturing Directorate, Air Force Research Laboratory Wright-Patterson AFB OH 45433 USA luke.baldwin.1@us.af.mil.
  • Feng H; National Research Council Research Associate, Air Force Research Laboratory Wright-Patterson AFB OH 45433 USA.
  • Garrido Torres JA; Department of Chemistry, Purdue University West Lafayette IN 47907 USA.
  • Doyle AG; Department of Chemistry, Massachusetts Institute of Technology Cambridge MA 02139 USA.
  • Swager TM; Department of Chemistry, Massachusetts Institute of Technology Cambridge MA 02139 USA.
  • Vaia RA; Department of Chemistry, Princeton University Princeton NJ 08544 USA.
  • Mirau P; Department of Chemistry and Biochemistry, University of California Los Angeles CA 90095 USA.
  • Crouse CA; Department of Chemistry, Massachusetts Institute of Technology Cambridge MA 02139 USA.
  • Baldwin LA; Materials and Manufacturing Directorate, Air Force Research Laboratory Wright-Patterson AFB OH 45433 USA luke.baldwin.1@us.af.mil.
Chem Sci ; 14(30): 8061-8069, 2023 Aug 02.
Article de En | MEDLINE | ID: mdl-37538827

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Type d'étude: Prognostic_studies Langue: En Journal: Chem Sci Année: 2023 Type de document: Article

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Type d'étude: Prognostic_studies Langue: En Journal: Chem Sci Année: 2023 Type de document: Article