Open and Academia: Datasets and Tools to Accelerate Electrochemical Science and Engineering

Sunday, 1 October 2017: 16:30
Chesapeake G/H/I (Gaylord National Resort and Convention Center)
D. T. Schwartz (University of Washington)
Electrochemistry has a strong scholarly legacy of bench-top scale “small” science. Over the past two decades, societal demand for improved electrochemical power sources—batteries and fuel cells—has driven a push for accelerating the process of turning a scientific discovery into a technology demonstration and, ultimately, an improved product. We discuss our lab’s effort to create valuable open source data sets and analysis tool. We are taking the most commonly used and cited full-physics lithium-ion battery model as the basis for generating a large library of impedance spectra that can be compared to experimental data. We have developed a data analysis and visualization tool to compare experiments and model in order to extract key physical parameters of the battery under test. We see open source datasets and analysis tools as complementary to the broader movement by ECS to Free the Science through open access.