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Dataset contribution: autonomous discovery of battery electrolytes #26

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sgbaird opened this issue Nov 19, 2022 · 1 comment
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@sgbaird
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sgbaird commented Nov 19, 2022

Data source: https://data.matr.io/5/

251 experiments across 7 feeder solutions (design variables). Several measured quantities: pH, ionic conductivity, and current density vs. voltage array.

article:

Dave, A.; Mitchell, J.; Kandasamy, K.; Wang, H.; Burke, S.; Paria, B.; Póczos, B.; Whitacre, J.; Viswanathan, V. Autonomous Discovery of Battery Electrolytes with Robotic Experimentation and Machine Learning. Cell Reports Physical Science 2020, 1 (12), 100264. https://doi.org/10.1016/j.xcrp.2020.100264.

Mentioned by @CompRhys in sparks-baird/self-driving-lab-demo#53 (reply in thread)

@rileyhickman
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This is great - Will add this dataset to the next release of Olympus. Thank you

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