Machine Learning-based Modeling of Porous Materials Highlighted on Front Cover of Journal of SPE Polymers

A data-driven modeling approach is developed as a new toolbox to mitigate costs, risks, and time associated with the traditional approach for development of porous materials. This work was highlighted on the front cover of Journal of SPE Polymers. Congratulations to Omid, Zia, and Shahriar for their article “Machine learning-based model for predicting the material properties of nanostructured aerogels”.

https://4spepublications.onlinelibrary.wiley.com/doi/abs/10.1002/pls2.10082