Black-box optimization technique for investigation of surface phase diagram by Makoto Urushihara, Kenji Yamaguchi, Ryo Tamura

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Performance of uncertainty-based active learning for efficient approximation of black-box functions in materials science by Ai Koizumi, Guillaume Deffrennes, Kei Terayama, Ryo Tamura

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Target Material Property‐Dependent Cluster Analysis of Inorganic Compounds by Nobuya Sato, Akira Takahashi, Shin Kiyohara, Kei Terayama, Ryo Tamura, Fumiyasu Oba

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Predicting the surface roughness of an electrodeposited copper film using a machine learning technique by Ryo Tamura, Ryuichi Inaba, Mami Watanabe, Yutaro Mori, Makoto Urushihara, Kenji Yamaguchi, Shoichi Matsuda

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Evaluation of Tumor Viability for Primary and Bone Metastases in Metastatic Castration-Resistant Prostate Cancer Using Whole-Body Magnetic Resonance Imaging by Hiromichi Iwamura, Yasuhiro Kaiho, Jun Ito, Go Anan, Nozomi Satani, Tomonori Matsuura, Ryo Tamura, Kazuhiro Murakami, Kaneki Koyama, Makoto Sato

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Machine learning prediction of the mechanical properties of injection-molded polypropylene through X-ray diffraction analysis by Ryo Tamura, Kenji Nagata, Keitaro Sodeyama, Kensaku Nakamura, Toshiki Tokuhira, Satoshi Shibata, Kazuki Hammura, Hiroki Sugisawa, Masaya Kawamura, Teruki Tsurimoto, Masanobu Naito, Masahiko Demura, Takashi Nakanishi

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