Avijit Hazra

Mar 30, 2024 | nature.com | Hongyuan Sheng |Jingwen Sun |Weitong Zhang |Avijit Hazra |Abigail Doyle |Matthew S. Sigman | +3 more

AbstractElectrochemical 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.