Reaction optimization through mechanistic insight and predictive modelling

Read full text
Authors: Roger Monreal-Corona, Anna Pla‐Quintana, Albert Poater
Cited by: 4
References: 130

Abstract

The optimization of chemical reactions lies at the heart of synthetic chemistry. We review how DoE, computational models, and machine learning drive progress in efficiency and selectivity.

Fields of Study & Subjects

Asymmetric Hydrogenation and Catalysis Innovative Microfluidic and Catalytic Techniques Innovation Process Optimization and Integration

Publication details

Journal / source
Digital Discovery
Publisher
Royal Society of Chemistry (RSC)
Volume
5
Issue
4
Pages
1447–1459
Publication date
1 January 2026
Language
EN