Presentation Information
[15p-P06-13]Improvement of Efficiency of Dielectric Thin Film Material Development by 2D Measurement Data and Study of Linkage with Existing Data
〇Takahiro Nagata1, Hiori Kino1, Takashi Kono1, Noriaki Ozaki2, Jun Ikeda2 (1.NIMS, 2.Murata co. ltd.)
Keywords:
2D-XRD,Variational AutoEncoder,dielectric thin film
We have proposed an automatic analysis method for 2-D X-ray diffraction data, which is an important method for understanding physical properties in the development of thin film materials, using a non-negative matrix factorization to classify the data and a variational autoencoder to visualize the relationships between them. We applied this method to high-dielectric thin film materials and compared the results with material maps created from the NIMS database AtomWork-Adv. As a result, we found that the metastable structure of the thin film shows a different trend in contrast to the region where the structure and dielectric constant trends are consistent.
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