Application of High-throughput Screening in Materials

Genome Initiative

Abstract

In this talk, I am going to review the application of high-throughput fabrication and characterization and of machine learning in materials research. We have systematically developed a platform for materials genome initiative from high-throughput fabrication, characterization to big data processing. As an example, we have tested the application of this platform in search for rare-earth-free permanent magnets, and found our platform is very high efficient for searching new functional materials.

I am also going to talk about the potential application of high-throughput screening in spintronics and the potential application of active learning in materials genome initiative.

       DOI: 10.12110/firstfmge.20171121.218