Tag: material

Scientists propose machine learning method for 2-D material spectroscopy

Scientists propose machine learning method for 2-D material spectroscopy
Basic architecture of the learning procedure in the random forest method. Credit: SIOM

Machine learning is an important branch in the field of artificial intelligence. Its basic idea is to build a statistical model based on data and use the model to analyze and predict the data. With the rapid development of big data technology, data-driven machine learning algorithms have begun to flourish in various fields of materials research.


Recently, a research team led by Prof. Wang Jun from the Shanghai Institute of Optics and Fine Mechanics of the Chinese Academy of Sciences (CAS) proposed a recognition method to distinguish

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