Journal article
Developing a global approach for determining the molar heat capacity of deep eutectic solvents
MEASUREMENT, v 188, 110630
Jan 2022
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Deep eutectic solvents (DES) are a new class of green solvents. Reliable characterization of DESs is a prerequisite for their successful applications. The molar heat capacity (Cp) is likely an essential thermal property often measured through expensive and time-consuming experimentations. Hence, it is necessary to derive an accurate model for Cp calculation from readily available features. This study introduces a universal computational approach for calculating the Cp of 26 different DESs as a function of temperature, acentric factor, and critical properties. Ranking investigations over four accuracy indices approve that the least-squares support vector regression with the Gaussian kernel function (LSSVR-G) is more reliable than thirteen intelligent and two regression-based models. The LSSVR-G estimates 503 experimental data points of DES molar heat capacity with an absolute average relative deviation (AARD%) of 0.27%. The results show that the LSSVR accuracy is better than the existing empirical correlations in the literature.
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Details
- Title
- Developing a global approach for determining the molar heat capacity of deep eutectic solvents
- Publication Details
- MEASUREMENT, v 188, 110630
- Publisher
- ELSEVIER SCI LTD; OXFORD
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Drexel University
- Web of Science ID
- WOS:000763513100003
- Scopus ID
- 2-s2.0-85121792659
- Other Identifier
- 991021861306104721
UN Sustainable Development Goals (SDGs)
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- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Engineering, Multidisciplinary
- Instruments & Instrumentation