Screening Topological Quantum Cathode Materials for K-Ion Batteries by Graph Neural Network and First-Principles Calculations-Reference-Cited by-同舟云学术

Screening Topological Quantum Cathode Materials for K-Ion Batteries by Graph Neural Network and First-Principles Calculations

Published:2023-04-20 Issue:9 Volume:6 Page:4503-4510
ISSN:2574-0962
Container-title:ACS Applied Energy Materials
language:en
Short-container-title:ACS Appl. Energy Mater.

Author:

Wang Yongyi¹^ORCID,Liu Jiahui²^ORCID,Du Peng-Hu²^ORCID,Sun Zhili¹,Sun Qiang³⁴^ORCID

Affiliation:

1. College of Engineering, Peking University, Beijing 100871, People’s Republic of China

2. School of Materials Science and Engineering, Peking University, Beijing 100871, People’s Republic of China

3. Beijing Key Laboratory of Theory and Technology for Advanced Batteries Materials, School of Materials Science and Engineering, Peking University, Beijing 100871, People’s Republic of China

4. Center for Applied Physics and Technology, Peking University, Beijing 100871, People’s Republic of China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

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.3c00438

Reference30 articles.

1. Challenges and Strategies toward Cathode Materials for Rechargeable Potassium‐Ion Batteries

2. Recent advances in topological quantum anode materials for metal-ion batteries

3. Topological dual double node-line semimetals NaAlSi(Ge) and their potential as cathode material for sodium ion batteries

4. Coupling Topological Insulator SnSb 2 Te 4 Nanodots with Highly Doped Graphene for High‐Rate Energy Storage

5. All-carbon-based porous topological semimetal for Li-ion battery anode material

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