Search Results - "Sholklapper, Tal Z."

An open access tool for exploring machine learning model choice for battery life cycle prediction by Schauser, Nicole S., Lininger, Christianna N., Leland, Eli S., Sholklapper, Tal Z.

“…Early and accurate battery lifetime predictions could accelerate battery R&D and product development timelines by providing insights into performance after…”
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Ionic conductivity of stabilized zirconia networks in composite SOFC electrodes by Yamahara, Keiji, Sholklapper, Tal Z., Jacobson, Craig P., Visco, Steven J., De Jonghe, Lutgard C.

“…The effective oxygen conductivities in the zirconia networks of porous LSM–YSZ and LSM–SYSZ composites [i.e. La0.85Sr0.15MnO3–(Y2O3)0.08(ZrO2)0.92 and…”
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Voltaiq data format—A standard data format for collection of battery data to enable big data comparisons and analyses across the battery lifecycle by Lininger, Christianna N., Thai, Tony, Juran, Taylor R., Leland, Eli S., Sholklapper, Tal Z.

“…Batteries have enabled modernization of society through portability of electricity. Batteries are also a crucial component to enabling clean technologies of…”
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Nanocomposite Ag–LSM solid oxide fuel cell electrodes by Sholklapper, Tal Z., Radmilovic, Velimir, Jacobson, Craig P., Visco, Steven J., De Jonghe, Lutgard C.

“…Advances in infiltration technology have enabled the creation of innovative electrode architectures that are key to highly effective SOFC anodes and cathodes…”
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