Preferable single-atom catalysts enabled by natural language processing for high energy density Na-S batteries

Preferable single-atom catalysts enabled by natural language processing for high energy density Na-S batteries

Abstract Employing appropriate single-atom (SA) catalysts in room-temperature sodium-sulfur (Na-S) batteries is propitious to promote the performance, whereas a universal designing strategy for the highly-efficient single-atom catalysts is absent. In this work, we adopt natural language processing t...

Full description

Saved in:
Bibliographic Details
Main Authors: Ruilin Bai, Yu Yao, Qiaosong Lin, Lize Wu, Zhen Li, Huijuan Wang, Mingze Ma, Di Mu, Lingxiang Hu, Hai Yang, Weihan Li, Shaolong Zhu, Xiaojun Wu, Xianhong Rui, Yan Yu
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-025-60931-x
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://doi.org/10.1038/s41467-025-60931-x

Similar Items