Data-driven Electrochemical One-pot Synthesis of Double Hetero[7]dehydrohelicene

Abstract

The pursuit of chiral nanographenes with robust chiral stability and good chiroptical responses is of great interest for material-based applications. However, the most reported preparation processes involve intricate synthetic pathways and harsh conditions, resulting in readily epimerization due to their low epimerization barriers. In this study, we present a streamlined one-pot electrochemical synthesis for a novel double oxaza[7]dehydrohelicene, characterized by a substantial epimerization barrier (33.8 kcal mol−1) and notable chiroptical responses (|glum| = 1.5 × 10−3). To optimize the electrochemical conditions efficiently, we applied a Bayesian optimization (BO) approach with expected improvement (EI) or lower confidence bound (LCB) as an acquisition function, aiming to maximize exploration and exploitation while minimizing the number of experiments needed to identify global maxima. Additionally, the structural and optical features of this molecule have been studied using X-ray crystallographic analysis, and the absorption and emission behaviors were rationalized based on DFT calculations.

Keywords

• bayesian optimization
• nanographene
• chiroptical
• electrochemical synthesis