University of Illinois Urbana-Champaign

Prediction of higher selectivity catalysts by a computer driven workflow and machine learning and computational investigation of boronate esters in the Suzuki-Miyaura cross coupling

Zahrt, Andrew F

Content Files
ZAHRT-DISSERTATION-2020.pdf

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https://hdl.handle.net/2142/108577

Description

Title
Prediction of higher selectivity catalysts by a computer driven workflow and machine learning and computational investigation of boronate esters in the Suzuki-Miyaura cross coupling
Author(s)
Zahrt, Andrew F
Issue Date
2020-07-09
Director of Research (if dissertation) or Advisor (if thesis)
Denmark, Scott E
Doctoral Committee Chair(s)
Denmark, Scott E
Committee Member(s)
  • Burke, Martin D.
  • Peng, Jian
  • Pogorelov, Taras V.
Department of Study
Chemistry
Discipline
Chemistry
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
Ph.D.
Degree Level
Dissertation
Date of Ingest
2020-10-07T22:44:23Z
Keyword(s)
  • Machine learning
  • Computational Chemistry
  • Chemoinformatics
Abstract
Chapter one of this work provides a comprehensive overview of chemoinformatics in enantioselective catalysis. Chapter two is comprised of completely unpublished work detailing the synthesis of a diverse set of bisoxazoline ligands in the planned optimization of an enantioselective aziridination reaction. Although this work was unsuccessful in the optimization of the target reaction, it revealed deficiencies in our computationally-guided workflow. In Chapter three, we address the limitations revealed in chapter two using an algorithmically selected set of BINOLphosphoric acids to simulate an optimization of an enantioselective reaction. In this chapter, we demonstrate the ability to use suboptimal reaction results to predict reaction outcomes for optimal catalysts. In Chapter 4, we transition from chemoinformatics-guided optimization to applied quantum chemistry to elucidate the influence of boronic ester structure on the rate of transmetalation. Here we find that the activation barrier for transmetalation is dependent on the interplay between ground state destabilization of a Pd-O dative interaction and hyperconjugative activation of the Cipso-B σ bond.
Graduation Semester
2020-08
Type of Resource
Thesis
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http://hdl.handle.net/2142/108577
Copyright and License Information
Copyright 2020 Andrew Zahrt

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