Machine-learning-assisted low dielectric constant polymer discovery
Jiechun Liang, Shangqian Xu, Linfeng Hu, Yu Zhao, Xi Zhu
Abstract
A machine learning method is combined with SMILES string processing to classify polymers based on their dielectric properties and generate new low dielectric polymers. The generated polymers are synthesized using a cloud lab.
Topics & Concepts
DielectricPolymerMaterials scienceString (physics)Cloud computingComposite materialComputer scienceOptoelectronicsPhysicsTheoretical physicsOperating systemMachine Learning in Materials ScienceComputational Drug Discovery MethodsChemistry and Chemical Engineering