The dawn of the 21st century has brought with it a surge of research related to computer-
guided approaches to catalyst design. In the past two decades, chemoinformatics, the …

Conspectus Catalyst design in enantioselective catalysis has historically been driven by
empiricism. In this endeavor, experimentalists attempt to qualitatively identify trends in …

Catalyst optimization processes typically rely on inductive and qualitative assumptions of
chemists based on screening data. While machine learning models using molecular …

Modern, enantioselective catalyst development is driven largely by empiricism. Although this
approach has fostered the introduction of most of the existing synthetic methods, it is …

Catalytic asymmetric reduction of prochiral ketones with hydrides such as boranes and
borohydrides is one of the simplest and the most convenient methods for obtaining chiral …

A general and efficient visible-light photoredox-catalysed decarboxylative radical coupling
reaction of N-aryl amino acids with aldehydes or ketones for the synthesis of various 1, 2 …

A protocol for the rapid determination of the absolute configuration and enantiomeric excess
(ee) of α‐chiral primary amines with potential applications in asymmetric reaction discovery …

Vicinal amino alcohols (b-amino alcohols or 1, 2-amino alcohols) are among the most
important tools that chemists have used to tune the stereoselectivity of asymmetric reactions …

Computational design of chiral organic catalysts for asymmetric synthesis is a promising
technology that can significantly reduce the material and human resources required for the …

The application of machine learning (ML) to problems in homogeneous catalysis has
emerged as a promising avenue for catalyst optimization. An important aspect of such …