When AI Starts Reading Battery Papers Like a Researcher

IF 11.1 1区化学 Q1 CHEMISTRY, MULTIDISCIPLINARY

ACS Central Science Pub Date : 2026-06-24 Epub Date: 2026-05-13 DOI:10.1021/acscentsci.6c00760

Dian-Zhao Lin, and , Yayuan Liu,

引用次数: 0

Abstract

A new AI agent mines both text and figures from lithium-metal-battery papers, pointing toward a future where the literature itself helps guide discovery.

查看原文本刊更多论文

当人工智能开始像研究人员一样阅读电池论文时

一种新的人工智能代理可以从锂金属电池论文中挖掘文本和数字，指出未来文献本身可以帮助指导发现。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

ACS Central Science Chemical Engineering-General Chemical Engineering

CiteScore

25.50

自引率

0.50%

发文量

194

审稿时长

10 weeks

期刊介绍： ACS Central Science publishes significant primary reports on research in chemistry and allied fields where chemical approaches are pivotal. As the first fully open-access journal by the American Chemical Society, it covers compelling and important contributions to the broad chemistry and scientific community. "Central science," a term popularized nearly 40 years ago, emphasizes chemistry's central role in connecting physical and life sciences, and fundamental sciences with applied disciplines like medicine and engineering. The journal focuses on exceptional quality articles, addressing advances in fundamental chemistry and interdisciplinary research.