Machine learning enabled high-throughput screening of inorganic solid electrolytes for regulating dendritic growth in lithium metal anodes-Reference-Cited by-同舟云学术

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Machine learning enabled high-throughput screening of inorganic solid electrolytes for regulating dendritic growth in lithium metal anodes

Published:2022 Issue:29 Volume:46 Page:14227-14238
ISSN:1144-0546
Container-title:New Journal of Chemistry
language:en
Short-container-title:New J. Chem.

Author:

Satpati Anish¹,Kandregula Ganapathi Rao²,Ramanujam Kothandaraman²³^ORCID

Affiliation:

1. Department of Metallurgical Engineering and Materials Science, Indian Institute of Technology Bombay, Mumbai, 400 076, India

2. Department of Chemistry, Indian Institute of Technology Madras, Chennai, 600036, India

3. Potential Centre of Excellence: Advanced Centre for Energy Storage and Conversion, Indian Institute of Technology Madras, Chennai, 600 036, India

Abstract

Schematic of dendrite formation and correlation plot of shear modulus.

Publisher

Royal Society of Chemistry (RSC)

Subject

Materials Chemistry,General Chemistry,Catalysis

Link

http://pubs.rsc.org/en/content/articlepdf/2022/NJ/D2NJ01827F

Reference78 articles.

1. Na-Ion Batteries

2. H.Qiao and Q.Wei , Functional nanofibers in lithium-ion batteries , Woodhead Publishing Limited , 2012

3. A highly ordered nanostructured carbon–sulphur cathode for lithium–sulphur batteries

4. Positive Electrode Materials for Li-Ion and Li-Batteries

5. Li–O2 and Li–S batteries with high energy storage

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4. Electro-Chemo-Mechanical Challenges and Perspective in Lithium Metal Batteries;Applied Mechanics Reviews;2023-01-01

5. Advances and applications of computational simulations in the inhibition of lithium dendrite growth;Ionics;2022-12-29

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