DESignSolvents: an open platform for the search and prediction of the physicochemical properties of deep eutectic solvents

V Odegova, A Lavrinenko, T Rakhmanov, G Sysuev… - Green …, 2024 - pubs.rsc.org
The use of organic solvents in various industries poses significant environmental risks. Deep
eutectic solvents (DESs) have emerged as a promising alternative due to their …

[HTML][HTML] Machine learning-driven prediction of deep eutectic solvents' heat capacity for sustainable process design

AK Halder, R Haghbakhsh, ESC Ferreira… - Journal of Molecular …, 2025 - Elsevier
Heat capacity, a crucial physical property for chemical processes, is often understudied in
Deep Eutectic Solvents (DESs), which in turn are promising green alternatives to …

Density of deep eutectic solvents: the path forward cheminformatics-driven reliable predictions for mixtures

AK Halder, R Haghbakhsh, IV Voroshylova… - Molecules, 2021 - mdpi.com
Deep eutectic solvents (DES) are often regarded as greener sustainable alternative solvents
and are currently employed in many industrial applications on a large scale. Bearing in mind …

Machine learning approach for the prediction of eutectic temperatures for metal-free deep eutectic solvents

AK Lavrinenko, IY Chernyshov… - … Sustainable Chemistry & …, 2023 - ACS Publications
Deep eutectic solvents (DESs) represent an environmentally friendly alternative to
conventional organic solvents. Their liquid range determines the areas of application, and …

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 …

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 …

[HTML][HTML] Machine-Learning-Assisted Design of Deep Eutectic Solvents Based on Uncovered Hydrogen Bond Patterns

UL Abbas, Y Zhang, J Tapia, S Md, J Chen, J Shi… - Engineering, 2024 - Elsevier
Non-ionic deep eutectic solvents (DESs) are non-ionic designer solvents with various
applications in catalysis, extraction, carbon capture, and pharmaceuticals. However …

[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 …

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 …

Predicting the surface tension of deep eutectic solvents using artificial neural networks

T Lemaoui, A Boublia, AS Darwish, M Alam, S Park… - ACS …, 2022 - ACS Publications
Studies on deep eutectic solvents (DESs), a new class of “green” solvents, are attracting
increasing attention from researchers, as evidenced by the rapidly growing number of …