A systematic study on the metallophilicity of ordered five-atomic-layer MXenes using high-throughput automated workflow and machine learning-Reference-Cited by-同舟云学术

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A systematic study on the metallophilicity of ordered five-atomic-layer MXenes using high-throughput automated workflow and machine learning

Published:2023-11 Issue: Volume:63 Page:103035
ISSN:2405-8297
Container-title:Energy Storage Materials
language:en
Short-container-title:Energy Storage Materials

Author:

Feng Xiang,Dong Ruilin,Li Yuanjian,Liu Xiaopeng,Lin Chao,Wang Tianshuai,Seh Zhi Wei^ORCID,Zhang Qianfan^ORCID

Funder

Natural Science Foundation of Beijing Municipality

National Key Research and Development Program of China

Fundamental Research Funds for the Central Universities

Major Science and Technology Project of Hainan Province

Agency for Science, Technology and Research

Publisher

Elsevier BV

Subject

Energy Engineering and Power Technology,General Materials Science,Renewable Energy, Sustainability and the Environment

Reference81 articles.

1. Reviving the lithium metal anode for high-energy batteries;Lin;Nat. Nanotechnol.,2017

2. Toward safe lithium metal anode in rechargeable batteries: a review;Cheng;Chem. Rev.,2017

3. A salt-in-metal anode: stabilizing the solid electrolyte interphase to enable prolonged battery cycling;Fu;Adv. Funct. Mater.,2021

4. Dendrite-free sodium-metal anodes for high-energy sodium-metal batteries;Sun;Adv. Mater.,2018

5. MXene-based dendrite-free potassium metal batteries;Tang;Adv. Mater.,2020

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