Machine Learning to Predict Entropy and Heat Capacity of Hydrocarbons

Machine Learning to Predict Entropy and Heat Capacity of Hydrocarbons

Chemical substances are essential to all aspects of human life, and understanding their properties is essential for effective application. The properties of chemical species are usually measured by experimentation or computational calculation using theoretical methods. In this work, machine learning...

Full description

Bibliographic Details
Main Author: Aldosari, Mohammed
Other Authors: Sarathy, Mani
Language:en
Published: 2020
Subjects:
machine learning
SVR
RFR
entropy
Heat capacity
hydrocarbons
Online Access:Aldosari, M. (2020). Machine Learning to Predict Entropy and Heat Capacity of Hydrocarbons. KAUST Research Repository. https://doi.org/10.25781/KAUST-15VBY
http://hdl.handle.net/10754/664160

Internet

Aldosari, M. (2020). Machine Learning to Predict Entropy and Heat Capacity of Hydrocarbons. KAUST Research Repository. https://doi.org/10.25781/KAUST-15VBY
http://hdl.handle.net/10754/664160

Similar Items