Conductive 1D Metal–Organic Frameworks DDA‐X (DDA = Hexacoordinated 1,5‐Diamino‐4,8‐Dihydroxy‐9,10‐Anthraceneedione, X = Co, Ni, and Cu) for Highly Efficient Sulfur Redox Kinetics in Lithium–Sulfur Batteries: A Density‐Functional Theory Study

Lithium–sulfur batteries (LiSBs) are considered as the prominent candidates for next‐generation energy storage systems. However, the commercial applications of LiSBs are impeded by shuttling effect and sluggish conversion kinetics of the lithium polysulfides (LiPSs). Herein, it is proposed that the 1D metal–organic framework (1D MOF) DDA‐X (DDA = hexacoordinated 1,5‐diamino‐4,8‐dihydroxy‐9,10‐anthraceneedione, X = Co, Ni, and Cu) can be a potential sulfur host material for LiSBs. Through the first‐principles calculations, it is revealed that the DDA‐X with excellent electronic conductivity mitigates the insulating properties of S‐based electrodes. Because of the significant synergistic effect based on the XS bond and the LiN bond, the DDA‐X can intensely interact with LiPSs and substantially prevent soluble LiPSs species into the electrolyte. Particularly, the battery with the DDA‐Co cathode has excellent electrocatalytic activity for the redox reaction of LiPSs, which has low Gibbs free energy barriers (0.398 eV) and Li 2 S decomposition energy barriers (1.45 eV) during the charge–discharge cycle, and it is due to the upshift of the d‐band center of Co in DDA‐Co. Through these findings, the application of the 1D MOF materials in high‐performance LiSBs is facilitated.

Authors

Institutions

Publication Details

Journal
physica status solidi (b)
Published
2025-02-05
DOI
https://doi.org/10.1002/pssb.202400510
Citations
2
Primary Topic
Advanced Battery Materials and Technologies
Type
article
Field-Weighted Citation Impact
1.46

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Conductive 1D Metal–Organic Frameworks DDA‐X (DDA = Hexacoordinated 1,5‐Diamino‐4,8‐Dihydroxy‐9,10‐Anthraceneedione, X = Co, Ni, and Cu) for Highly Efficient Sulfur Redox Kinetics in Lithium–Sulfur Batteries: A Density‐Functional Theory Study

B. Zhang, Weixiao Ji, Ping Li, Feng Li et al.
2 citations
physica status solidi (b)
Advanced Battery Materials and Technologies
1.46
article

Conductive 1D Metal–Organic Frameworks DDA‐X (DDA = Hexacoordinated 1,5‐Diamino‐4,8‐Dihydroxy‐9,10‐Anthraceneedione, X = Co, Ni, and Cu) for Highly Efficient Sulfur Redox Kinetics in Lithium–Sulfur Batteries: A Density‐Functional Theory Study

B. Zhang, Weixiao Ji, Ping Li, Feng Li, Changwen Zhang, Y. Yan
article en
2 citations

Abstract

Lithium–sulfur batteries (LiSBs) are considered as the prominent candidates for next‐generation energy storage systems. However, the commercial applications of LiSBs are impeded by shuttling effect and sluggish conversion kinetics of the lithium polysulfides (LiPSs). Herein, it is proposed that the 1D metal–organic framework (1D MOF) DDA‐X (DDA = hexacoordinated 1,5‐diamino‐4,8‐dihydroxy‐9,10‐anthraceneedione, X = Co, Ni, and Cu) can be a potential sulfur host material for LiSBs. Through the first‐principles calculations, it is revealed that the DDA‐X with excellent electronic conductivity mitigates the insulating properties of S‐based electrodes. Because of the significant synergistic effect based on the XS bond and the LiN bond, the DDA‐X can intensely interact with LiPSs and substantially prevent soluble LiPSs species into the electrolyte. Particularly, the battery with the DDA‐Co cathode has excellent electrocatalytic activity for the redox reaction of LiPSs, which has low Gibbs free energy barriers (0.398 eV) and Li 2 S decomposition energy barriers (1.45 eV) during the charge–discharge cycle, and it is due to the upshift of the d‐band center of Co in DDA‐Co. Through these findings, the application of the 1D MOF materials in high‐performance LiSBs is facilitated.

physica status solidi (b)Vol. 262(5)
University of Jinan (CN)
National Natural Science Foundation of China, Natural Science Foundation of Shandong Province
Openalex Percentile: Top 20%
Advanced Battery Materials and Technologies
1.46
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.