logo
ResearchBunny Logo
Abstract
Reproducibility in chemical synthesis is challenging. This paper introduces DigiChemTree, an AI-backed platform that auto-optimizes photochemical reaction parameters for on-demand molecule synthesis. It uses a continuous flow reactor with integrated AI to optimize light-induced carbene generation and its coupling with various nucleophiles, achieving high yields and significantly reducing reaction times compared to traditional methods. The platform was successfully applied to late-stage functionalization of active pharmaceutical ingredients.
Publisher
Communications Chemistry
Published On
Nov 01, 2024
Authors
Abhilash Rana, Ruchi Chauhan, Amirreza Mottafegh, Dong Pyo Kim, Ajay K. Singh
Tags
DigiChemTree
AI
photochemical synthesis
molecule optimization
reaction parameters
pharmaceuticals
continuous flow reactor
Listen, Learn & Level Up
Over 10,000 hours of research content in 25+ fields, available in 12+ languages.
No more digging through PDFs, just hit play and absorb the world's latest research in your language, on your time.
listen to research audio papers with researchbunny