Deep learning models to predict CO2 solubility in imidazolium-based ionic liquids

Abstract This study focuses on predicting CO2 solubility in imidazolium-based ionic liquids using deep learning models with input parameters of critical pressure, critical temperature, molecular weight, and acentric factor. The models evaluated include Bayesian Neural Networks (BNN), Deep Neural Net...

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Bibliographic Details
Main Authors: Amir Hossein Sheikhshoaei, Ali Sanati, Ali Khoshsima
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Online Access:https://doi.org/10.1038/s41598-025-12004-8
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