New Insight into the Ground State of FePc: A Diffusion Monte Carlo Study by Tom Ichibha, Zhufeng Hou, Kenta Hongo, Ryo Maezono

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Designing Nanostructures for Phonon Transport via Bayesian Optimization by Shenghong Ju, Takuma Shiga, Lei Feng, Zhufeng Hou, Koji Tsuda, Junichiro Shiomi

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Data integration for accelerated materials design via preference learning by Xiaolin Sun, Zhufeng Hou, Masato Sumita, Shinsuke Ishihara, Ryo Tamura, Koji Tsuda

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MDTS: automatic complex materials design using Monte Carlo tree search by Thaer M. Dieb, Shenghong Ju, Kazuki Yoshizoe, Zhufeng Hou, Junichiro Shiomi, Koji Tsuda

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Unveiling the principle descriptor for predicting the electron inelastic mean free path based on a machine learning framework by Xun Liu, Zhufeng Hou, Dabao Lu, Bo Da, Hideki Yoshikawa, Shigeo Tanuma, Yang Sun, Zejun Ding

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Data-driven exploration of new pressure-induced superconductivity in PbBi2Te4 by Ryo Matsumoto, Zhufeng Hou, Masanori Nagao, Shintaro Adachi, Hiroshi Hara, Hiromi Tanaka, Kazuki Nakamura, Ryo Murakami, Sayaka Yamamoto, Hiroyuki Takeya, Tetsuo Irifune, Kiyoyuki Terakura, Yoshihiko Takano

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