Skip to main content

Normality of I-V Measurements Using ML

by Anees M Al Najjar, Nageswara S Rao, Craig A Bridges, Sheng Dai
Publication Type
Conference Paper
Book Title
2023 IEEE 19th International Conference on e-Science (e-Science)
Publication Date
Page Numbers
1 to 2
Publisher Location
New Jersey, United States of America
Conference Name
International Conference on eScience 2023
Conference Location
Limassol, Cyprus
Conference Sponsor
Conference Date

There is an increased interest in instrument-computing ecosystems (ICEs) that support science workflows empowered by AI-automated experiments and computations in diverse areas. In particular, electrochemistry ICEs are promising for accelerating the design and discovery of electrochemical systems for energy storage and conversion, by automating significant parts of workflows that combine synthesis and characterization experiments with computations. They require the integration of flow controllers, solvent containers, pumps, fraction collectors, and potentiostats, all connected to an electrochemical cell, as illustrated in Fig. 1. These are specialized instruments with custom software that is not originally designed for network integration. We developed network and software solutions for electrochemical workflows that adapt system and instrument settings in real-time for multiple rounds of experiments. In particular, we developed Python wrappers for Application Programming Interfaces (APIs) of instrument commands and Pyro client-server modules that enable them to be executed from remote computers. The entire workflow is orchestrated by a Jupyter notebook running on a remote computer.