Zhufeng Hou

发表

MDTS: automatic complex materials design using Monte Carlo tree search

Koji Tsuda, Shenghong Ju, Junichiro Shiomi, 2017, Science and technology of advanced materials.

Elastic constants of NaBH4 and LiBH4: Instability of β-LiBH4

Xiaodong Zhang, Zhufeng Hou, Zhen-Yi Jiang, 2009 .

Data integration for accelerated materials design via preference learning pdf

Koji Tsuda, Shinsuke Ishihara, Xiaolin Sun, 2019, New Journal of Physics.

Examining the justification of superposition model of FePc ; A DMC study

Kenta Hongo, Ryo Maezono, Zhufeng Hou, 2016 .

Efficient Optimization of the Performance of Mn 2+ ‐Doped Kesterite Solar Cell: Machine Learning Aided Synthesis of High Efficient Cu 2 (Mn,Zn)Sn(S,Se) 4 Solar Cells

Yi Zhang, Wei Liu, Zhiqiang Zhou, 2018, Solar RRL.

Selective nitrogen doping in graphene: Enhanced catalytic activity for the oxygen reduction reaction

Kiyoyuki Terakura, Takashi Ikeda, Seizo Miyata, 2011 .

Designing Nanostructures for Interfacial Phonon Transport via Bayesian Optimization

Junichiro Shiomi, Lei Feng, Koji Tsuda, 2016 .

Atomic Modulation of FeCo–Nitrogen–Carbon Bifunctional Oxygen Electrodes for Rechargeable and Flexible All‐Solid‐State Zinc–Air Battery

Wei Li, Nan Li, Hui Cheng, 2017 .

Machine-Learning-Assisted Development and Theoretical Consideration for the Al2Fe3Si3 Thermoelectric Material.

Yoshikazu Shinohara, Koji Tsuda, Yibin Xu, 2019, ACS applied materials & interfaces.

Electronic and transport properties of graphene nanoribbons

Zhufeng Hou, Z. Hou, M. Yee, 2007, 2007 7th IEEE Conference on Nanotechnology (IEEE NANO).

Designing Nanostructures for Phonon Transport via Bayesian Optimization

Junichiro Shiomi, Lei Feng, Koji Tsuda, 2016, 1609.04972.

Thermodynamic Stability Landscape of Halide Double Perovskites via High‐Throughput Computing and Machine Learning

Qichen Xu, Wan-Jian Yin, Zhufeng Hou, 2019, Advanced Functional Materials.