The data descriptive science project
Oct. 17, 2023
We need a new type pf approch to analyze the big data obtained by X-ray microscopy. We have carried out reseaches as one of the team: Materials Science Gr in "The data descriptive science project" (Grant-in-Aid for Transformative Research Areas (A) 22H05109).
It's a new challenge to combine materials science and applied mathematics!
The macroscopic performance of advanced materials is often associated with various reactions which progress heterogeneously. Thus, material properties are generally determined not by their averaged characteristics but by specific features in heterogeneity (or ‘trigger sites’) of phases, chemical states, etc., where the key reactions dictate macroscopic properties. We have investigated trigger sites in structural materials, batteries, etc. using X-ray microscopy (XRM). However, finding trigger sites by humans or computers has been a challenging task because the data is not only big but also multi-dimensional. Here we developed a new approach for the determination of trigger sites in terms of the shapes of heterogeneity obtained by XRM using persistent homology (PH) analysis.
