Work

Machine Learning-Enabled Quantification of Characteristic Carbonyl Peak Shifts in Infrared Spectra: An Instrumental Analysis Laboratory Experiment for Upper-Division Undergraduates

Year: 2026

Type: article

Source: Journal of Chemical Education

DOI: 10.1021/acs.jchemed.5c01216

Authors: Qiang Zhou, Yilun Dong, Mingyu Xia, Weihao Wu, Menghan Zhang, Wenhao Niu, Zhenyu Wang, Wanqun Hu, Pingping Zhu

Institution: University of Science and Technology of China

Language: English

Topic: Various Chemistry Research Topics

Subfield: Physical and Theoretical Chemistry

Field: Chemistry

Domain: Physical Sciences

SDG: Quality education

Open Access status: closed

Funders: Ministry of Education of the People's Republic of China, University of Science and Technology of China, Anhui Provincial Department of Education, Natural Science Foundation of Anhui Province

Awards: G3663091704, G3706248848, G3863806259, G4116664018, G4540480315, G5447530130, G7091773844, G7456794064, G8474970205, G8933132292

OpenAlex ID: W7140073508

FWCI:

Cites: 33

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