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Machine learning methods to predict solubilities of rock samples

Year: 2019

Type: article

Source: Journal of Chemometrics

DOI: 10.1002/cem.3198

Authors: Pál Péter Hanzelik, Szilveszter Gergely, Csaba Gáspár, László Győry

Institutions: MOL Group (Hungary), Budapest University of Technology and Economics

Language: English

Topic: Spectroscopy and Chemometric Analyses

Subfield: Analytical Chemistry

Field: Chemistry

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W2997933987

FWCI: 0.616

Cites: 18

Cited by: 17

Related to: 10