Data-Driven Prediction of Enantioselectivity for the Sharpless Asymmetric Dihydroxylation: Model Development and Experimental Validation

Blake E. Ocampo, Bilal Altundas, Matthew J. Bock, Sara Feiz, Scott E. Denmark

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DOI: 10.1021/acscentsci.5c00900
Published: 2025-07-29
Container: ACS Central Science
Publisher: American Chemical Society (ACS)
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1021/acscentsci.5c00900,
  title = {Data-Driven Prediction of Enantioselectivity for the Sharpless Asymmetric Dihydroxylation: Model Development and Experimental Validation},
  author = {Blake E. Ocampo and Bilal Altundas and Matthew J. Bock and Sara Feiz and Scott E. Denmark},
  year = {2025},
  journal = {ACS Central Science},
  doi = {10.1021/acscentsci.5c00900},
  url = {https://doi.org/10.1021/acscentsci.5c00900}
}

RIS

TY  - JOUR
TI  - Data-Driven Prediction of Enantioselectivity for the Sharpless Asymmetric Dihydroxylation: Model Development and Experimental Validation
AU  - Blake E. Ocampo
AU  - Bilal Altundas
AU  - Matthew J. Bock
AU  - Sara Feiz
AU  - Scott E. Denmark
PY  - 2025
JO  - ACS Central Science
DO  - 10.1021/acscentsci.5c00900
UR  - https://doi.org/10.1021/acscentsci.5c00900
ER  -

APA

Ocampo, B. E., Altundas, B., Bock, M. J., Feiz, S., & Denmark, S. E. (2025). Data-Driven Prediction of Enantioselectivity for the Sharpless Asymmetric Dihydroxylation: Model Development and Experimental Validation. ACS Central Science. https://doi.org/10.1021/acscentsci.5c00900

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crossref · retrieved 2026-11-10T20:00:47.618Z