most citedToward Diverse Polymer Property Prediction Using Transfer Learning

1 citations · 1 across the 2 of their papers we have counts for

collaborators

2 papers

cond-mat.mtrl-sci2025

Descriptor and Graph-based Molecular Representations in Prediction of Copolymer Properties Using Machine Learning

Elaheh Kazemi-Khasragh, Rocío Mercado, Carlos Gonzalez +1

Copolymers are highly versatile materials with a vast range of possible chemical compositions. By using computational methods for property prediction, the design of copolymers can…

cond-mat.soft2024★ 1 cited

Toward Diverse Polymer Property Prediction Using Transfer Learning

Elaheh Kazemi-Khasragh, Carlos Gonzaleza, Maciej Haranczyk

The prediction of mechanical and thermal properties of polymers is a critical aspect for polymer development. Herein, we discuss the use of transfer learning approach to predict mu…