Guiding the Design of Heterogeneous Electrode Microstructures for Li‐Ion Batteries: Microscopic Imaging, Predictive Modeling, and Machine Learning-Reference-Cited by-同舟云学术

Guiding the Design of Heterogeneous Electrode Microstructures for Li‐Ion Batteries: Microscopic Imaging, Predictive Modeling, and Machine Learning

Published:2021-04-08 Issue:19 Volume:11 Page:2003908
ISSN:1614-6832
Container-title:Advanced Energy Materials
language:en
Short-container-title:Adv. Energy Mater.

Author:

Xu Hongyi¹^ORCID,Zhu Juner²³^ORCID,Finegan Donal P.⁴^ORCID,Zhao Hongbo³^ORCID,Lu Xuekun⁵⁶⁷^ORCID,Li Wei²^ORCID,Hoffman Nathaniel⁸,Bertei Antonio⁹^ORCID,Shearing Paul⁵⁶^ORCID,Bazant Martin Z.³¹⁰^ORCID

Affiliation:

1. Department of Mechanical Engineering University of Connecticut Storrs CT 06269 USA

2. Department of Mechanical Engineering Massachusetts Institute of Technology Cambridge MA 02139 USA

3. Department of Chemical Engineering Massachusetts Institute of Technology Cambridge MA 02139 USA

4. Center for Integrated Mobility Sciences National Renewable Energy Laboratory Golden CO 80401 USA

5. The Electrochemical Innovation Lab Department of Chemical Engineering University College London Torrington Place London WC1E 7JE UK

6. The Faraday Institution Quad One, Becquerel Ave, Harwell Campus Didcot OX11 0RA UK

7. National Physical Laboratory Hampton Road Teddington Middlesex TW11 0LW UK

8. Advanced Manufacturing for Energy Systems University of Connecticut Storrs CT 06269 USA

9. Department of Civil and Industrial Engineering University of Pisa Pisa 56122 Italy

10. Department of Mathematics Massachusetts Institute of Technology Cambridge MA 02139 USA

Funder

U.S. Department of Energy

Toyota Research Institute

Università di Pisa

Faraday Institution

Engineering and Physical Sciences Research Council

Royal Academy of Engineering

Publisher

Wiley

Subject

General Materials Science,Renewable Energy, Sustainability and the Environment

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/aenm.202003908

Reference276 articles.

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3. Modeling 3D Microstructure and Ion Transport in Porous Li-Ion Battery Electrodes

4. Opportunities for mesoscale science

5. Integrated computational materials engineering: A new paradigm for the global materials profession

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