| Issue |
Natl Sci Open
Volume 4, Number 6, 2025
Special Topic: Artificial Intelligence and Energy Revolution
|
|
|---|---|---|
| Article Number | 20250039 | |
| Number of page(s) | 5 | |
| Section | Chemistry | |
| DOI | https://doi.org/10.1360/nso/20250039 | |
| Published online | 18 November 2025 | |
PERSPECTIVE
Overcoming data scarcity challenges in AI-driven energy chemistry research
1
Beijing Key Laboratory of Complex Solid State Batteries, Department of Chemical Engineering, Tsinghua University, Beijing 100084, China
2
Innovation Center for Smart Solid-State Batteries, Yibin 644002, China
3
State Key Laboratory of Chemical Engineering and Low-Carbon Technology, Tsinghua University, Beijing 100084, China
* Corresponding authors (emails: xiangchen@mail.tsinghua.edu.cn (Xiang Chen); zhang-qiang@mails.tsinghua.edu.cn (Qiang Zhang))
Received:
8
August
2025
Revised:
27
September
2025
Accepted:
11
October
2025
This article has no abstract.
© The Author(s) 2025. Published by Science Press and EDP Sciences.
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.
