中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
An artificial intelligence atomic force microscope enabled by machine learning

文献类型:期刊论文

作者Boyuan Huang; Zhenghao Li; Jiangyu Li
刊名Nanoscale
出版日期2018
文献子类期刊论文
英文摘要Artificial intelligence (AI) and machine learning have promised to revolutionize the way we live and work, and one of the particularly promising areas for AI is image analysis. Nevertheless, many current AI applications focus on the post-processing of data, while in both materials sciences and medicine, it is often critical to respond to the data acquired on the fly. Here we demonstrate an artificial intelligence atomic force microscope (AI-AFM) that is capable of not only pattern recognition and feature identification in ferroelectric materials and electrochemical systems, but can also respond to classification via adaptive experimentation with additional probing at critical domain walls and grain boundaries, all in real time on the fly without human interference. Key to our success is a highly efficient machine learning strategy based on a support vector machine (SVM) algorithm capable of high fidelity pixel-by-pixel recognition instead of relying on the data from full mapping, making real time classification and control possible during scanning, with which complex electromechanical couplings at the nanoscale in different material systems can be resolved by AI. For AFM experiments that are often tedious, elusive, and heavily rely on human insight for execution and analysis, this is a major disruption in methodology, and we believe that such a strategy empowered by machine learning is applicable to a wide range of instrumentations and broader physical machineries.
URL标识查看原文
语种英语
源URL[http://ir.siat.ac.cn:8080/handle/172644/14415]  
专题深圳先进技术研究院_医工所
推荐引用方式
GB/T 7714
Boyuan Huang,Zhenghao Li,Jiangyu Li. An artificial intelligence atomic force microscope enabled by machine learning[J]. Nanoscale,2018.
APA Boyuan Huang,Zhenghao Li,&Jiangyu Li.(2018).An artificial intelligence atomic force microscope enabled by machine learning.Nanoscale.
MLA Boyuan Huang,et al."An artificial intelligence atomic force microscope enabled by machine learning".Nanoscale (2018).

入库方式: OAI收割

来源:深圳先进技术研究院

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