@article{c31efc0fc6834e3b891d194e5e6a446f,
title = "Synchrotron imaging of pore formation in Li metal solid-state batteries aided by machine learning",
abstract = "High-rate capable, reversible lithium metal anodes are necessary for next generation energy storage systems. In situ tomography of Li|LLZO|Li cells is carried out to track morphological transformations in Li metal electrodes. Machine learning enables tracking the lithium metal morphology during galvanostatic cycling. Nonuniform lithium electrode kinetics are observed at both electrodes during cycling. Hot spots in lithium metal are correlated with microstructural anisotropy in LLZO. Mesoscale modeling reveals that regions with lower effective properties (transport and mechanical) are nuclei for failure. Advanced visualization combined with electrochemistry represents an important pathway toward resolving non-equilibrium effects that limit rate capabilities of solid-state batteries.",
keywords = "LLZO, Lithium metal, Machine learning, Solid electrolytes, Solid-state battery, Tomography",
author = "Dixit, {Marm B.} and Ankit Verma and Wahid Zaman and Xinlin Zhong and Peter Kenesei and Park, {Jun Sang} and Jonathan Almer and Mukherjee, {Partha P.} and Hatzell, {Kelsey B.}",
note = "Funding Information: The submitted manuscript has been created by UChicago Argonne, LLC, Operator of Argonne National Laboratory (“Argonne”). Argonne, a U.S. Department of Energy Office of Science laboratory, is operated under Contract DE-AC02-06CH11357. The U.S. Government retains for itself, and others acting on its behalf, a paid-up nonexclusive, irrevocable worldwide license in said article to reproduce, prepare derivative works, distribute copies to the public, and perform publicly and display publicly, by or on behalf of the Government. The Department of Energy will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan. http://energy.gov/downloads/doe-public-access-plan . Acknowledgments Funding Information: K.B.H. and M.B.D. acknowledge support from National Science Foundation Grant 1847029. K.B.H. and W.Z. acknowledge support from from National Science Foundation Grant 1821573. P.P.M. and A.V. acknowledge financial support in part from a Scialog program sponsored jointly by Research Corporation for Science Advancement and the Alfred P. Sloan Foundation which includes a grant to Purdue University by the Alfred P. Sloan Foundation. The authors acknowledge the Vanderbilt Institute of Nanoscience and Engineering (VINSE) for access to their shared characterization facilities. This research used resources of the Advanced Photon Source, a U.S. Department of Energy (DOE) Office of Science User Facility operated for the DOE Office of Science by Argonne National Laboratory under Contract DE-AC02-06CH11357. Publisher Copyright: {\textcopyright} 2020 American Chemical Society",
year = "2020",
month = oct,
day = "26",
doi = "10.1021/acsaem.0c02053",
language = "English (US)",
volume = "3",
pages = "9534--9542",
journal = "ACS Applied Energy Materials",
issn = "2574-0962",
publisher = "American Chemical Society",
number = "10",
}