Development of Novel Data-driven Predictive Tools for Selective Hydrodechlorination of Heteroarenes

• Unité de recherche: INNOSUISSE
• Numéro de projet: 124.601 IP-LS
• Titre du projet anglais: Development of Novel Data-driven Predictive Tools for Selective Hydrodechlorination of Heteroarenes

Mots-clé (Anglais)

Life sciences, Pharmaceuticals

Résumé des résultats (Abstract) (Anglais)

This proposal aims to develop a novel data-driven predictive tool for the hydrodechlorination of complex molecules via heterogeneous catalysis leveraging high-throughput experimentation and machine learning, overcoming critical challenges for the green manufacturing of pharmaceuticals.