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 hi...
Main Authors: | , , , , , , , , , , , , , , |
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Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2024-03-01
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Series: | Nature Communications |
Online Access: | https://doi.org/10.1038/s41467-024-47210-x |