Predicting Performance of Photochemical Transformations for Scaling Up in Different Platforms by Combining High-Throughput Experimentation with Computational Modeling-Reference-Cited by-同舟云学术

Predicting Performance of Photochemical Transformations for Scaling Up in Different Platforms by Combining High-Throughput Experimentation with Computational Modeling

Published:2020-09-03 Issue:10 Volume:24 Page:2128-2138
ISSN:1083-6160
Container-title:Organic Process Research & Development
language:en
Short-container-title:Org. Process Res. Dev.

Author:

Sezen-Edmonds Melda¹^ORCID,Tabora Jose E.¹,Cohen Benjamin M.¹^ORCID,Zaretsky Serge¹,Simmons Eric M.¹^ORCID,Sherwood Trevor C.²^ORCID,Ramirez Antonio¹^ORCID

Affiliation:

1. Chemical Process Development, Bristol Myers Squibb, 1 Squibb Drive, New Brunswick, New Jersey 08903, United States

2. Discovery Chemistry, Bristol Myers Squibb, Lawrenceville, New Jersey 08543, United States

Publisher

American Chemical Society (ACS)

Subject

Organic Chemistry,Physical and Theoretical Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.oprd.0c00182

Reference47 articles.

1. Enantioselective Crossed Photocycloadditions of Styrenic Olefins by Lewis Acid Catalyzed Triplet Sensitization

2. Enantioselective Lewis Acid Catalysis in Intramolecular [2 + 2] Photocycloaddition Reactions: A Mechanistic Comparison between Representative Coumarin and Enone Substrates