Litcius/Paper detail

Data-driven approaches for structure-property relationships in polymer science for prediction and understanding

Yoshifumi Amamoto

2022Polymer Journal61 citationsDOI

Topics & Concepts

Property (philosophy)Computer scienceMaterials informaticsData sciencePolymerInformaticsDomain (mathematical analysis)Materials scienceHealth informaticsMathematicsEngineering informaticsEngineeringComposite materialMathematical analysisPublic healthNursingEpistemologyMedicinePhilosophyElectrical engineeringMachine Learning in Materials ScienceComputational Drug Discovery MethodsProtein Structure and Dynamics
Data-driven approaches for structure-property relationships in polymer science for prediction and understanding | Litcius