Data driven analytics of porous battery microstructures-Reference-Cited by-同舟云学术

Data driven analytics of porous battery microstructures

Published:2021 Issue:4 Volume:14 Page:2485-2493
ISSN:1754-5692
Container-title:Energy & Environmental Science
language:en
Short-container-title:Energy Environ. Sci.

Author:

Deva Abhas¹²³⁴⁵,Krs Vojtech⁶²³⁴⁵,Robinson Lucas D.¹²³⁴⁵,Adorf Carl S.⁷⁸⁹⁵,Benes Bedrich⁶²³⁴⁵,Glotzer Sharon C.⁷⁸⁹⁵^ORCID,García R. Edwin¹²³⁴⁵^ORCID

Affiliation:

1. School of Materials Engineering

2. Purdue University

3. West Lafayette

4. Indiana 47907

5. USA

6. Department of Computer Graphics Technology and Department of Computer Science

7. Chemical Engineering

8. University of Michigan

9. Ann Arbor

Abstract

Battery microstructure Rosetta Stone: Bruggeman exponent, α_zz, as a function of area density, S, for 53 356 topologies to identify optimal designs.

Funder

National Science Foundation

Toyota USA

Publisher

Royal Society of Chemistry (RSC)

Subject

Pollution,Nuclear Energy and Engineering,Renewable Energy, Sustainability and the Environment,Environmental Chemistry

Link

http://pubs.rsc.org/en/content/articlepdf/2021/EE/D1EE00454A

Reference38 articles.

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