Prediction of thermophysical properties of deep eutectic solvent-based organic nanofluids: A machine learning approach-Reference-Cited by-同舟云学术

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Prediction of thermophysical properties of deep eutectic solvent-based organic nanofluids: A machine learning approach

Published:2024-10 Issue: Volume:411 Page:125809
ISSN:0167-7322
Container-title:Journal of Molecular Liquids
language:en
Short-container-title:Journal of Molecular Liquids

Author:

Dehury Pyarimohan^ORCID,Chaudhari Shahil,Banerjee Tamal,Kumar Das Sarit

Funder

IIT Madras

Publisher

Elsevier BV

Reference46 articles.

1. Deep Eutectic Solvents (DESs) and their applications;Smith;Chem. Rev.,2014

2. Deep eutectic solvents: sustainable media for nanoscale and functional materials;Wagle;Acc Chem. Res.,2014

3. Separation performance of BioRenewable deep eutectic solvents;Verevkin;Ind. Eng. Chem. Res.,2015

4. Evaluation of Deep Eutectic Solvent for the selective extraction of toluene and quinoline at T = 308.15 K and p = 1 bar;Naik;Fluid Phase Equilib.,2016

5. Screening of deep eutectic solvents (DESs) as green CO2 sorbents: from solubility to viscosity;Sarmad;New J. Chem.,2016

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