材料合成2025 (MatSyn25) 对二维材料的数据集
Chengbo Li1,2, Ying Wang3,4, Qianying Wang3
1State Key Laboratory of High Performance Ceramics, Shanghai Institute of Ceramics, Chinese Academy of Sciences, Shanghai 200050, China.
ACS applied materials & interfaces
|January 22, 2026
概括
研究人员创建了MatSyn25,这是一个2D材料合成过程的大数据集,以加速人工智能驱动的材料发现. 该资源有助于预测新型二维材料的合成可靠性.
科学领域:
- 材料科学 材料科学 材料科学
- 人工智能的人工智能
- 数据科学数据科学数据科学
背景情况:
- 二维 (2D) 材料具有独特的特性,对能源,环境和航空航天应用有价值.
- 人工智能 (AI) 加快了新型二维材料的发现和设计.
- 预测设计的2D材料的可靠合成过程仍然是一个重大的挑战,因为缺乏基本的理论和数据.
研究的目的:
- 为了解决二维材料合成中的数据短缺问题.
- 引入一个大规模的,2D材料合成过程的开放数据集.
- 为了促进人工智能驱动的材料科学进步.
主要方法:
- 通过从85,160篇研究文章中提取合成信息,编制了材料合成2025 (MatSyn25) 数据集.
- 包括163,240个合成过程记录,包含材料细节和逐步程序.
- 开发MatSyn AI,一种专门用于材料合成的AI模型,以及用于数据探索的交互式网络平台.
主要成果:
- 创建了MatSyn25,这是一个关于二维材料合成过程的全面开放数据集.
- 建立了MatSyn AI,这是一个针对材料合成的AI工具.
- 推出了一个用于多面数据探索的交互平台 (https://matsynai.stpaper.cn/).
结论:
- MatSyn25为研究界提供了一个至关重要的资源.
- 数据集和相关的AI工具将加速人工智能辅助的材料科学.
- MatSyn25的公共可用性促进了2D材料合成和发现的协作进步.
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