Polymer Informatics Data Infrastructure for Achieving a Circular Economy

2.1 Material (Material Informatics, Remote Experiment, Laboratory Automation, etc.)
2.2 Manufacturing Science and Engineering (Data-Driven Simulation, Structural Analysis, Fluid Analysis, Skills Transfer, Connected Industry)
2.3 Enviroment and Energy (Energy System, Renewable Energy, Ecosystem, Material Cycle, Life Cycle)

Masahiro Sato

Graduate School of Engineering

Associate Professor

This project aims to establish a data infrastructure for polymer informatics using computational science data and use the database to develop high-performance polymer materials necessary for achieving a circular society.

Diagram of the data infrastructure and an example of multi-scale modeling of polymers.

Research collaborators

Graduate School of Engineering
Graduate School of Information Science and Technology
Information Technology Center

Related publications

M. Sato, A. Kumada, and, K. Hidaka, “Atomistic Modeling of Charge Injection into Dielectric Polymers,” IEEE Trans. Dielectr. Electr. Insul., accepted.
H. Shimakawa, A. Kumada, and M. Sato, “Robust Machine Learning Framework for Predicting Property of Polymer Composite,” Composites Science and Technology, under review.