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Updated: Jan 21, 2026

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可伸缩电极的预测设计,通过机器人和机器学习集成工作流来实现对应变不敏感的性能

Haochen Yang1, Qiongyu Chen2, Tianle Chen1

  • 1Department of Chemical and Biomolecular Engineering, University of Maryland, College Park, MD, USA.

Nature communications
|January 19, 2026
PubMed
概括

研究人员开发了一种机器智能工作流程,用于设计可拉伸电极. 这种方法结合了自动化实验,机器学习和模拟,以实现可穿戴电子产品和软机器人中的不敏感应变性能.

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