Density, viscosity and CO2 solubility modeling of deep eutectic solvents from various neural network approaches

SM Hosseini, M Pierantozzi - Journal of the Taiwan Institute of Chemical …, 2025 - Elsevier
Abstract Background Deep eutectic solvents (DESs) have gained attention as innovative
green solvents, but accurate prediction of their thermophysical properties is essential for …

Assessing Viscosity in Sustainable Deep Eutectic Solvents and Cosolvent Mixtures: An Artificial Neural Network-Based Molecular Approach

LV Tavares Duarte de Alencar… - ACS Sustainable …, 2024 - ACS Publications
Deep eutectic solvents (DESs) are gaining recognition as environmentally friendly solvent
alternatives for diverse chemical processes. Yet, designing DESs tailored to specific …

[HTML][HTML] Assessing Viscosity in Sustainable Deep Eutectic Solvents and Cosolvent Mixtures: An Artificial Neural Network-Based Molecular Approach

LVTD de Alencar, SB Rodríguez-Reartes… - ACS Sustainable …, 2024 - ncbi.nlm.nih.gov
Deep eutectic solvents (DESs) are gaining recognition as environmentally friendly solvent
alternatives for diverse chemical processes. Yet, designing DESs tailored to specific …

Estimating the density of deep eutectic solvents applying supervised machine learning techniques

M Abdollahzadeh, M Khosravi… - Scientific Reports, 2022 - nature.com
Deep eutectic solvents (DES) are recently synthesized to cover limitations of conventional
solvents. These green solvents have wide ranges of potential usages in real-life …

Accurate machine learning for predicting the viscosities of deep eutectic solvents

M Mohan, KD Jetti, MD Smith… - Journal of Chemical …, 2024 - ACS Publications
Deep eutectic solvents (DESs) are emerging as environmentally friendly designer solvents
for mass transport and heat transfer processes in industrial applications; however, the lack of …

Estimation of density and viscosity of deep eutectic solvents: Experimental and machine learning approach

D Patel, KJ Suthar, HK Balsora, D Patel… - Asia‐Pacific Journal …, 2024 - Wiley Online Library
Deep eutectic solvents (DESs) are increasingly recognized as sustainable alternatives
suitable for a range of industrial applications. A precise comprehension of their properties is …

Prediction of the viscosity of green deep eutectic solvents by constructing ensemble model based on machine learning

H Liu, H Xu, W Zhu, Y Zhou, K Xue, Z Zhu… - Chemical Engineering …, 2025 - Elsevier
Deep eutectic solvents (DESs), as novel green and sustainable solvents, play an important
role in industrial mass and heat transfer processes due to their viscosity. In this study, four …

Transition state theory-inspired neural network for estimating the viscosity of deep eutectic solvents

LY Yu, GP Ren, XJ Hou, KJ Wu, Y He - ACS central science, 2022 - ACS Publications
The lack of accurate methods for predicting the viscosity of solvent materials, especially
those with complex interactions, remains unresolved. Deep eutectic solvents (DESs), an …

Machine learning approach for mapping the heat capacity of deep eutectic solvents for sustainable energy applications

AS Darwish, RA Alwan, A Boublia, T Lemaoui… - Fuel, 2025 - Elsevier
This study introduces a breakthrough machine learning (ML) approach to predict the heat
capacity of deep eutectic solvents (DESs), an emerging class of environmentally friendly …

Machine Learning for Predicting and Optimizing Physicochemical Properties of Deep Eutectic Solvents: Review and Perspectives

FJ López-Flores, C Ramírez-Márquez… - Industrial & …, 2024 - ACS Publications
This review explores the application of machine learning in predicting and optimizing the
key physicochemical properties of deep eutectic solvents, including CO2 solubility, density …