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Bayesian-inference-based inverse estimation of small angle scattering
Asahara, A., Morita, H., Yano, M., Shoji, T., Ono, K., Mitsumata, C., & Saito, K. (2021). Bayesian-inference-based inverse estimation of small angle scattering. In J. Lee, E. F. Darve, P. K. Kitanidis, M. W. Mahoney, A. Karpatne, M. W. Farthing, & T. Hesser (Eds.), CEUR workshop proceedings: Vol. 2964. Proceedings of the AAAI 2021 spring symposium on combining artificial intelligence and machine learning with physical sciences (p. 157 (6 pp.). CEUR-WS.org.
[Short paper] EM-algorithm enpowers material science: application of inverse estimation for small angle scattering
Morita, A. A. H., Shoji, M. Y. T., Saito, K., Ono, K., & Mitsumata, C. (2020). [Short paper] EM-algorithm enpowers material science: application of inverse estimation for small angle scattering. In A. Martin, K. Hinkelmann, H. G. Fill, A. Gerber, D. Lenat, R. Stolle, & F. van Harmelen (Eds.), CEUR workshop proceedings: Vol. 2600. Proceedings of the AAAI 2020 spring symposium on combining machine learning and knowledge engineering practice (AAAI-MAKE 2020). Volume 1 (p. (8 pp.).
Automated crystal structure analysis based on blackbox optimisation
Ozaki, Y., Suzuki, Y., Hawai, T., Saito, K., Onishi, M., & Ono, K. (2020). Automated crystal structure analysis based on blackbox optimisation. npj Computational Materials, 6(1), 75 (7 pp.). https://doi.org/10.1038/s41524-020-0330-9
Accelerating small-angle scattering experiments on anisotropic samples using kernel density estimation
Saito, K., Yano, M., Hino, H., Shoji, T., Asahara, A., Morita, H., … Ono, K. (2019). Accelerating small-angle scattering experiments on anisotropic samples using kernel density estimation. Scientific Reports, 9(1), 1526 (10 pp.). https://doi.org/10.1038/s41598-018-37345-5
Symmetry prediction and knowledge discovery from X-ray diffraction patterns using an interpretable machine learning approach
Suzuki, Y., Hino, H., Hawai, T., Saito, K., Kotsugi, M., & Ono, K. (2020). Symmetry prediction and knowledge discovery from X-ray diffraction patterns using an interpretable machine learning approach. Scientific Reports, 10(1), 21790 (11 pp.). https://doi.org/10.1038/s41598-020-77474-4
Effect of grain-boundary diffusion process on the geometry of the grain microstructure of Nd−Fe−B nanocrystalline magnets
Titov, I., Barbieri, M., Bender, P., Peral, I., Kohlbrecher, J., Saito, K., … Michels, A. (2019). Effect of grain-boundary diffusion process on the geometry of the grain microstructure of Nd−Fe−B nanocrystalline magnets. Physical Review Materials, 3(8), 084410 (6 pp.). https://doi.org/10.1103/PhysRevMaterials.3.084410
Effect of atomic configuration on magnetic properties and electronic state of CoVMnAl quaternary heusler alloy
Umetsu, R. Y., Saito, K., Ono, K., Fukushima, T., Kuroda, F., Oguchi, T., & Ishigaki, T. (2021). Effect of atomic configuration on magnetic properties and electronic state of CoVMnAl quaternary heusler alloy. Journal of Alloys and Compounds, 855, 157389 (9 pp.). https://doi.org/10.1016/j.jallcom.2020.157389
Atomic ordering, magnetic properties, and electronic structure of Mn<sub>2</sub>CoGa Heusler alloy
Umetsu, R. Y., Tsujikawa, M., Saito, K., Ono, K., Ishigaki, T., Kainuma, R., & Shirai, M. (2019). Atomic ordering, magnetic properties, and electronic structure of Mn2CoGa Heusler alloy. Journal of Physics: Condensed Matter, 31(6), 065801 (10 pp.). https://doi.org/10.1088/1361-648X/aaf54a
Towards spatially resolved magnetic small-angle scattering studies by polarized and polarization-analyzed neutron dark-field contrast imaging
Valsecchi, J., Kim, Y., Lee, S. W., Saito, K., Grünzweig, C., & Strobl, M. (2021). Towards spatially resolved magnetic small-angle scattering studies by polarized and polarization-analyzed neutron dark-field contrast imaging. Scientific Reports, 11(1), 8023 (9 pp.). https://doi.org/10.1038/s41598-021-87335-3