Autonomous closed-loop mechanistic investigation of molecular electrochemistry via automation.

ABSTRACT: Electrochemical research often requires stringent combinations of experimental parameters that are demanding to manually locate. Recent advances in automated instrumentation and machine-learning algorithms unlock the possibility for accelerated studies of electrochemical fundamentals via high-throughput, online decision-making. Here we report an autonomous electrochemical platform that implements an adaptive, closed-loop workflow for mechanistic investigation of molecular electrochemistry. As a proof-of-concept, this platform autonomously identifies and investigates an EC mechanism, an interfacial electron transfer (E step) followed by a solution reaction (C step), for cobalt tetraphenylporphyrin exposed to a library of organohalide electrophiles. The generally applicable workflow accurate

SUBMITTER: Sheng H 

PROVIDER: S-EPMC10981680 | biostudies-literature | 2024 Mar

REPOSITORIES: biostudies-literature