Finding “Trigger Sites” of Reactions Among Heterogeneous Materials from X-ray Microscopic Big Data Using Persistent Homology
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-50349-8_67
Reference10 articles.
1. Kimura M, Takeichi Y, Watanabe T, Niwa Y, Kimijima K (2019) Finding degradation trigger sites of structural materials for airplanes using X-Ray microscopy. Chem Rec 19:1462–1468. https://doi.org/10.1002/tcr.201800203
2. Niwa Y, Takeichi Y, Watanabe T, Kimura M (2019) Development of spectromicroscopes for multiscale observation of heterogeneity in materials at photon factory, IMSS. KEK AIP Conf Procds 2054:050003. https://doi.org/10.1063/1.5084621
3. Kimura M, Obayashi I, Takeichi Y, Murao R, Hiraoka Y (2019) Non-empirical identification of trigger sites in heterogeneous processes using persistent homology. Sci Rep 8:3553. https://doi.org/10.1038/s41598-018-21867-z
4. Obayashi I, Hiraoka Y, Kimura M (2018) Persistence diagrams with linear machine learning models. J Appl Comput Topol 1:421–449. https://doi.org/10.1007/s41468-018-0013-5
5. Obayashi I, Kimura M (2022) Persistent homology analysis with nonnegative matrix factorization for 3D voxel data of iron ore sinters. JSIAM Lett 14:151–154. https://doi.org/10.14495/jsiaml.14.151
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