A Machine Learning-Based Study of Li<sup>+</sup> and Na<sup>+</sup> Metal Complexation with Phosphoryl-Containing Ligands for the Selective Extraction of Li<sup>+</sup> from Brine

A Machine Learning-Based Study of Li<sup>+</sup> and Na<sup>+</sup> Metal Complexation with Phosphoryl-Containing Ligands for the Selective Extraction of Li<sup>+</sup> from Brine

The growth of technologies concerned with the high demand in lithium (Li) sources dictates the need for technological solutions garnering Li supplies to preserve the sustainability of the processes. The aim of this study was to use a machine learning-based search for phosphoryl-containing podandic l...

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Bibliographic Details
Main Authors: Natalia Kireeva, Vladimir E. Baulin, Aslan Yu. Tsivadze
Format: Article
Language:English
Published: MDPI AG 2023-05-01
Series:ChemEngineering
Subjects:
metal complexation
lithium extraction
cheminformatics
brines
gradient boosting trees
phosphoryl group
Online Access:https://www.mdpi.com/2305-7084/7/3/41

Internet

https://www.mdpi.com/2305-7084/7/3/41

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