Unlocking the potential of open-tunnel oxides: DFT-guided design and machine learning-enhanced discovery for next-generation industry-scale battery technologies-Reference-Cited by-同舟云学术

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Unlocking the potential of open-tunnel oxides: DFT-guided design and machine learning-enhanced discovery for next-generation industry-scale battery technologies

Published:2024 Issue:5 Volume:3 Page:968-982
ISSN:2753-1457
Container-title:Energy Advances
language:en
Short-container-title:Energy Adv.

Author:

Datta Joy¹,Koratkar Nikhil²,Datta Dibakar¹^ORCID

Affiliation:

1. Department of Mechanical and Industrial Engineering, New Jersey Institute of Technology (NJIT), Newark, NJ 07052, USA

2. Department of Mechanical, Aerospace, and Nuclear Engineering, Rensselaer Polytechnic Institute, Troy, New York, 12180, USA

Abstract

Lithium–ion batteries (LIBs) are ubiquitous in everyday applications.

Funder

Division of Civil, Mechanical and Manufacturing Innovation

Publisher

Royal Society of Chemistry (RSC)

Link

http://pubs.rsc.org/en/content/articlepdf/2024/YA/D4YA00014E

Reference96 articles.

1. Mg rechargeable batteries: an on-going challenge

2. An Overview and Future Perspectives of Aluminum Batteries

3. Quest for Nonaqueous Multivalent Secondary Batteries: Magnesium and Beyond

4. Calcium-Ion Batteries: Current State-of-the-Art and Future Perspectives

5. On the road toward calcium-based batteries

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