Heusler alloy catalysts for electrochemical CO2 reduction von Xie, Ruikuan, Hou, Zhufeng, Chai, Guo-Liang

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Pyridinic nitrogen exclusively doped carbon materials as efficient oxygen reduction electrocatalysts for Zn-air batteries von Lv, Qing, Wang, Ning, Si, Wenyan, Hou, Zhufeng, Li, Xiaodong, Wang, Xin, Zhao, Fuhua, Yang, Ze, Zhang, Yanliang, Huang, Changshui

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

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Machine-Learning-Assisted Development and Theoretical Consideration for the Al2Fe3Si3 Thermoelectric Material von Hou, Zhufeng, Takagiwa, Yoshiki, Shinohara, Yoshikazu, Xu, Yibin, Tsuda, Koji

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Metal–Organic Framework-Derived Graphene Mesh: a Robust Scaffold for Highly Exposed Fe–N4 Active Sites toward an Excellent Oxygen Reduction Catalyst in Acid Media von Li, Jingjing, Xia, Wei, Tang, Jing, Gao, Yong, Jiang, Cheng, Jia, Yining, Chen, Tao, Hou, Zhufeng, Qi, Ruijuan, Jiang, Dong, Asahi, Toru, Xu, Xingtao, Wang, Tao, He, Jianping, Yamauchi, Yusuke

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Atomic Modulation of FeCo–Nitrogen–Carbon Bifunctional Oxygen Electrodes for Rechargeable and Flexible All‐Solid‐State Zinc–Air Battery von Su, Chang‐Yuan, Cheng, Hui, Li, Wei, Liu, Zhao‐Qing, Li, Nan, Hou, Zhufeng, Bai, Fu‐Quan, Zhang, Hong‐Xing, Ma, Tian‐Yi

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Machine-learning-guided discovery of the gigantic magnetocaloric effect in HoB2 near the hydrogen liquefaction temperature von Castro, Pedro Baptista de, Terashima, Kensei, Yamamoto, Takafumi D, Hou, Zhufeng, Iwasaki, Suguru, Matsumoto, Ryo, Adachi, Shintaro, Saito, Yoshito, Song, Peng, Takeya, Hiroyuki, Takano, Yoshihiko

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Structure prediction of boron-doped graphene by machine learning von M. Dieb, Thaer, Hou, Zhufeng, Tsuda, Koji

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Active Sites and Mechanisms for Oxygen Reduction Reaction on Nitrogen-Doped Carbon Alloy Catalysts: Stone–Wales Defect and Curvature Effect von Chai, Guo-Liang, Hou, Zhufeng, Shu, Da-Jun, Ikeda, Takashi, Terakura, Kiyoyuki

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Facet Engineering to Regulate Surface States of Topological Crystalline Insulator Bismuth Rhombic Dodecahedrons for Highly Energy Efficient Electrochemical CO2 Reduction von Xie, Huan, Zhang, Tan, Xie, Ruikuan, Hou, Zhufeng, Ji, Xuecong, Pang, Yongyu, Chen, Shaoqing, Titirici, Maria‐Magdalena, Weng, Hongming, Chai, Guoliang

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Effect of Nitrogen Doping on the Migration of the Carbon Adatom and Monovacancy in Graphene von Hou, Zhufeng, Terakura, Kiyoyuki

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COMBO: An efficient Bayesian optimization library for materials science von Ueno, Tsuyoshi, Rhone, Trevor David, Hou, Zhufeng, Mizoguchi, Teruyasu, Tsuda, Koji

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Graphdiyne Containing Atomically Precise N Atoms for Efficient Anchoring of Lithium Ion von Yang, Ze, Shen, Xiangyan, Wang, Ning, He, Jianjiang, Li, Xiaodong, Wang, Xin, Hou, Zhufeng, Wang, Kun, Gao, Juan, Jiu, Tonggang, Huang, Changshui

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Rational Design of Nanoporous MoS2/VS2 Heteroarchitecture for Ultrahigh Performance Ammonia Sensors von Zhang, Shuaihua, Wang, Jiayu, Torad, Nagy L., Xia, Wei, Aslam, Muhammad Aamir, Kaneti, Yusuf Valentino, Hou, Zhufeng, Ding, Zejun, Da, Bo, Fatehmulla, Amanullah, Aldhafiri, Abdullah M., Farooq, Wazirzada Aslam, Tang, Jing, Bando, Yoshio, Yamauchi, Yusuke

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Fe–Al–Si Thermoelectric (FAST) Materials and Modules: Diffusion Couple and Machine-Learning-Assisted Materials Development von Takagiwa, Yoshiki, Hou, Zhufeng, Tsuda, Koji, Ikeda, Teruyuki, Kojima, Hiroyasu

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

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Bayesian optimization based on a unified figure of merit for accelerated materials screening: A case study of halide perovskites von Chen, Xiwen, Wang, Chen, Li, Zhenzhu, Hou, Zhufeng, Yin, Wan-Jian

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Effect of single-hydrogen-induced out-of-plane passivation on plasmon excitation in nanostructured graphene von Lu, Dabao, Hou, Zhufeng, Li, Huimin, Da, Bo, Ding, Z.J.

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Experimental Observation of Pressure-Induced Superconductivity in Layered Transition-Metal Chalcogenides (Zr,Hf)GeTe4 Explored by a Data-Driven Approach von Matsumoto, Ryo, Hou, Zhufeng, Adachi, Shintaro, Yamamoto, Sayaka, Tanaka, Hiromi, Takeya, Hiroyuki, Irifune, Tetsuo, Terakura, Kiyoyuki, Takano, Yoshihiko

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

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