Prediction of speed of sound of deep eutectic solvents using artificial neural network coupled with group contribution approach

Prediction of speed of sound of deep eutectic solvents using artificial neural network coupled with group contribution approach

Abstract Predicting the physiochemical properties of deep eutectic solvents (DESs) is crucial for designing new solvents. Heat capacity and speed of sound are important thermodynamic properties in chemical processes. However, experimental data on the speed of sound in DESs is limited. Consequently,...

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Main Authors: Ayat Hussein Adhab, Morug Salih Mahdi, Hardik Doshi, Anupam Yadav, R. Manjunatha, Sushil Kumar, Debasish Shit, Gargi Sangwan, Aseel Salah Mansoor, Usama Kadem Radi, Nasr Saadoun Abd
Format: Article
Language:English
Published: Nature Portfolio 2025-08-01
Series:Scientific Reports
Subjects:
Artificial intelligence
Neural network
Speed of sound
Deep eutectic
Group contribution
Machine learning
Online Access:https://doi.org/10.1038/s41598-025-14094-w
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https://doi.org/10.1038/s41598-025-14094-w

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