Synchrotron Imaging of Pore Formation in Li Metal Solid-State Batteries Aided by Machine Learning-Reference-Cited by-同舟云学术

Synchrotron Imaging of Pore Formation in Li Metal Solid-State Batteries Aided by Machine Learning

Published:2020-09-14 Issue:10 Volume:3 Page:9534-9542
ISSN:2574-0962
Container-title:ACS Applied Energy Materials
language:en
Short-container-title:ACS Appl. Energy Mater.

Author:

Dixit Marm B.¹^ORCID,Verma Ankit²,Zaman Wahid¹,Zhong Xinlin¹,Kenesei Peter³,Park Jun Sang³,Almer Jonathan³,Mukherjee Partha P.²,Hatzell Kelsey B.¹⁴⁵^ORCID

Affiliation:

1. Department of Mechanical Engineering, Vanderbilt University, Nashville, Tennessee 37240, United States

2. School of Mechanical Engineering, Purdue University, West Lafayette, Indiana 47907, United States

3. X-ray Science Division, Advanced Photon Source, Argonne National Laboratory, Lemont, Illinois 60439, United States

4. Chemical and Biomolecular Engineering, Vanderbilt University, Nashville, Tennessee 37240, United States

5. Interdisciplinary Material Science Program, Vanderbilt University, Nashville, Tennessee 37240, United States

Funder

Research Corporation for Science Advancement

Alfred P. Sloan Foundation

Division of Chemical, Bioengineering, Environmental, and Transport Systems

Publisher

American Chemical Society (ACS)

Subject

Electrical and Electronic Engineering,Materials Chemistry,Electrochemistry,Energy Engineering and Power Technology,Chemical Engineering (miscellaneous)

Link

https://pubs.acs.org/doi/pdf/10.1021/acsaem.0c02053

Reference31 articles.

1. Challenges in Lithium Metal Anodes for Solid-State Batteries

2. Dendrite Growth in Lithium/Polymer Systems

3. Effect of Pore Connectivity on Li Dendrite Propagation within LLZO Electrolytes Observed with Synchrotron X-ray Tomography

4. Detection of subsurface structures underneath dendrites formed on cycled lithium metal electrodes

5. Characterizing the Li-Solid-Electrolyte Interface Dynamics as a Function of Stack Pressure and Current Density

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