Study on empirical models of isobaric heat capacities and conductivities for ammonium salt-based DESs

Suthar, Krunal J.; Joshipura, Milind

doi:10.1016/j.ceja.2021.100132

Chemical Engineering Journal Advances

2021

DOI: 10.1016/j.ceja.2021.100132

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Study on empirical models of isobaric heat capacities and conductivities for ammonium salt-based DESs

Krunal J. Suthar

Milind Joshipura

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2024

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Cited by 1 publication

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

Patel,

Suthar,

Balsora

et al. 2024

Asia-Pacific J Chem Eng

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Deep eutectic solvents (DESs) are increasingly recognized as sustainable alternatives suitable for a range of industrial applications. A precise comprehension of their properties is important for progress in science and engineering. In this study, we synthesized four novel ternary DESs using mandelic acid and measured their densities and viscosities at temperatures ranging from 298 to 353 K. Subsequently, an artificial neural network model was developed to predict DES density and viscosity based on temperature, critical properties, acentric factor, and molar ratio. The neural network parameters were optimized using experimental data from synthesized DESs and literature sources, both collectively over 500 data points for density and viscosity. Additionally, we investigated the influence of input parameters on model accuracy and assessed their significance. The results show that the average percentage relative error was 0.501 for density and 4.81 for viscosity. This research helps advance science and engineering applications of DESs.

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

Patel,

Suthar,

Balsora

et al. 2024

Asia-Pacific J Chem Eng

View full text Add to dashboard Cite

show abstract

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Study on empirical models of isobaric heat capacities and conductivities for ammonium salt-based DESs

Cited by 1 publication

References 48 publications

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

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

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