Quantitative insights for diagnosing performance bottlenecks in lithium–sulfur batteries
Energy Environ. Sci., 2025, Advance ArticleDOI: 10.1039/D5EE00618J, Paper Open Access   This article is licensed under a Creative Commons Attribution 3.0 Unported Licence.Saurabh Parab, Jonathan Lee, Matthew Miyagishima, Qiushi Miao, Bhargav Bhamwala, Alex Liu, Louis Ah, Bhagath Sreenarayanan, Kun Ryu, Mingqian Li, Neal Arakawa, Robert Schmidt, Mei Cai, Fang Dai, Ping Liu, Shen Wang, Ying Shirley MengWith ppb-level sensitivity, the HUGS toolkit diagnoses diverse sulfur and lithium species in Li–S batteries, enabling mechanistic insights into performance degradation.To cite this article before page numbers are assigned, use the DOI form of citation above.The content of this RSS Feed (c) The Royal Society of Chemistry
DOI: 10.1039/D5EE00618J, Paper


With ppb-level sensitivity, the HUGS toolkit diagnoses diverse sulfur and lithium species in Li–S batteries, enabling mechanistic insights into performance degradation.
To cite this article before page numbers are assigned, use the DOI form of citation above.
The content of this RSS Feed (c) The Royal Society of Chemistry