Energy Storage @ PNNL—High-Throughput Experimentation for Accelerated Energy Materials Research
PNNL materials scientists Witness Martin and Yangang Liang present this webinar.
11 a.m. (PT), Thursday, November 17, 2022
| The ability of data-driven materials research to provide useful tools for scientific discovery and optimization has been demonstrated. However, the application of a data-driven research method to complex materials systems has specific hurdles, such as a lack of large-scale and high-quality data sets, appropriate algorithms, and the development of accurate/reliable prediction models. In this talk, we will highlight the development of high-throughput experimentation (HTE) capabilities under Pacific Northwest National Laboratory’s Energy Storage Materials Initiative to accelerate the data-driven energy materials approach. We will specifically discuss how we developed an HTE process for collecting large-scale and high-quality solubility data of redox active materials in redox-flow-battery-related media, as well as how we used our robotic platform to accelerate the discovery of non-flammable electrolyte recipes for lithium-ion battery electrochemical systems. |
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