An XMCD-PEEM study on magnetized Dy-doped Nd-Fe-B permanent magnets. - Ryosuke Yamaguchi; Kensei Terashima; Keiki Fukumoto; Yukio Takada; Masato Kotsugi; Yuta Miyata; Kazuma Mima; Satoshi Komori; Shuichi Itoda; Yoshitaka Nakatsu; Masao Yano; Noritaka Miyamoto; et al. (IBM J. Res. Dev., 2011)

Early-Stopping of Scattering Pattern Observation with Bayesian Modeling. - Akinori Asahara; Hidekazu Morita; Chiharu Mitsumata; Kanta Ono; Masao Yano; Tetsuya Shoji (AAAI, 2019)

EM-algorithm Enpowers Material Science: Application of Inverse Estimation for Small Angle Scattering. - Akinori Asahara; Hidekazu Morita; Kanta Ono; Masao Yano; Tetsuya Shoji; Kotaro Saito; Chiharu Mitsumata (AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering (1), 2020)

Bayesian-Inference-based Inverse Estimation of Small Angle Scattering. - Akinori Asahara; Hidekazu Morita; Kanta Ono; Masao Yano; Chiharu Mitsumata; Tetsuya Shoji; Kotaro Saito (AAAI Spring Symposium: MLPS, 2021)

Conditional physics informed neural networks. - Alexander Kovacs; Lukas Exl; Alexander Kornell; Johann Fischbacher; Markus Hovorka; Markus Gusenbauer; Leoni Breth; Harald Oezelt; Masao Yano; Noritsugu Sakuma; Akihito Kinoshita; Tetsuya Shoji; et al. (Commun. Nonlinear Sci. Numer. Simul., 2022)