Work

A Principal Component Analysis-Integrated Machine Learning Approach for Predicting Gas-Phase VUV/UV Absorption Spectra of Molecular Compounds

Year: 2025

Type: article

Source: Journal of Chemical Information and Modeling

DOI: 10.1021/acs.jcim.5c02354

Authors: Matine Ghasemloo, Victoria C. P. Chen, Jay Rosenberger, Kevin A. Schug

Institution: The University of Texas at Arlington

Language: English

Topic: Spectroscopy and Chemometric Analyses

Subfield: Analytical Chemistry

Field: Chemistry

Domain: Physical Sciences

Open Access status: closed

Funder: National Science Foundation

Award: CDS&E: On-Line Extraction and Separation Method Development using Surrogate Optimization and Machine Learning

OpenAlex ID: W7117355068

FWCI: 0.362

Cites: 33

Cited by: 1

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