利用机器学习解析太赫兹光谱以获取固有分子信息

International Photonics and OptoElectronics Meeting 2019 (OFDA, OEDI, ISST, PE, LST, TSA) Pub Date : 2019-11-11 DOI:10.1364/isst.2019.jw4a.55

Jianglou Huang, Jinsong Liu, Kejia Wang, Zhengang Yang, Xiaming Liu

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引用次数: 0

摘要

利用因子分析，我们开发了一种从分子的太赫兹光谱中提取潜在振动模式的方法。利用这些分子信息，我们成功地对16个分子进行了分类，证明了该方法的有效性。

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Using Machine Learning to Resolve Terahertz Spectra for Intrinsic Molecular Information

Using factor analysis, we develop a method to extract latent vibrational modes of molecules from their terahertz spectra. With this molecular information, we successfully classify 16 molecules, proving that this method is effective.

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来源期刊

International Photonics and OptoElectronics Meeting 2019 (OFDA, OEDI, ISST, PE, LST, TSA)

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