2024

• Masashi Hase, Ryo Tamura, Koji Hukushima, Shinichiro Asai, Takatsugu Masuda, Shinichi Itoh, and Andreas Dönni. Inelastic neutron scattering studies on the eight-spin zigzag-chain compound KCu4P3O12: Confirmation of the validity of a data-driven technique based on machine learning. Physical Review B 109 (2024) 094434.
  DOI: 10.1103/PhysRevB.109.094434

• Yusuke Saeki, Naoki Maki, Takahiro Nemoto, Katsushige Inada, Kosuke Minami, Ryo Tamura, Gaku Imamura, Yukiko Cho-Isoda, Shinsuke Kitazawa, Hiroshi Kojima, Genki Yoshikawa, and Yukio Sato. Lung cancer detection in perioperative patients' exhaled breath with nanomechanical sensor array. Lung Cancer 190 (2024) 107514.
  DOI: 10.1016/j.lungcan.2024.107514

2023

• Ken Sakaushi, Watcharaporn Hoisang, and Ryo Tamura. Human–Machine Collaboration for Accelerated Discovery of Promising Oxygen Evolution Electrocatalysts with On-Demand Elementse. ACS Central Science 9 [12] (2023) 2216–2224.
  DOI: 10.1021/acscentsci.3c01009

• Makoto Urushihara, Masaya Karube, Kenji Yamaguchi, and Ryo Tamura. Optimization of Core-Shell Nanoparticles Using a Combination of Machine Learning and Ising Machine. Advanced Photonics Research 4 [11] (2023) 23002.
  DOI: 10.1002/adpr.202300226

• Akira Takahashi, Kei Terayama, Yu Kumagai, Ryo Tamura, and Fumiyasu Oba. Fully autonomous materials screening methodology combining first-principles calculations, machine learning and high-performance computing system. Science and Technology of Advanced Materials: Methods, 3 [1] (2023) 2261834.
  DOI: 10.1080/27660400.2023.2261834

• Hongxin Wang, Han Zhang, Ryo Tamura, Bo Da, Shimaa A. Abdellatef, Ikumu Watanabe, Nobuyuki Ishida, Daisuke Fujita, Nobutaka Hanagata, Tomoki Nakagawa, and Jun Nakanishi. Mapping stress inside living cells by atomic force microscopy in response to environmental stimuli. Science and Technology of Advanced Materials, 24 [1] (2023) 2265434.
  DOI: 10.1016/j.patter.2023.100846

• Weilin Yuan, Yusuke Hibi, Ryo Tamura, Masato Sumita, Yasuyuki Nakamura, Masanobu Naito, and Koji Tsuda. Revealing factors influencing polymer degradation with rank-based machine learning. Patterns, 4 (2023) 100846.
  DOI: 10.1080/14686996.2023.2265434

• Kei Terayama, Yamato Osaki, Takehiro Fujita, Ryo Tamura, Masanobu Naito, Koji Tsuda, Toru Matsui, and Masato Sumita. Koopmans’ Theorem-Compliant Long-Range Corrected (KTLC) Density Functional Mediated by Black-Box Optimization and Data-Driven Prediction for Organic Molecules. Journal of Chemical Theory and Computation, 19 [19] (2023) 6770-6781.
  DOI: 10.1021/acs.jctc.3c00764

• Ryo Tamura, Kei Terayama, Masato Sumita, and Koji Tsuda. Ranking Pareto optimal solutions based on projection free energy. Physical Review Materials, 7 [9] (2023) 093804.
  DOI: 10.1103/PhysRevMaterials.7.093804

• Jiawen Li, Masato Sumita, Ryo Tamura, and Koji Tsuda. Interpretable Fragment-Based Molecule Design with Self-Learning Entropic Population Annealing. Advanced Intelligent Systems. 5 [10] (2023) 230018.
  DOI: 10.1002/aisy.202300189

• Ryo Tamura, Koji Tsuda, and Shoichi Matsuda. NIMS-OS: An automation software to implement a closed loop between artificial intelligence and robotic experiments in materials science. Science and Technology of Advanced Materials: Methods. 3 [1] (2023) 2232297.
  DOI: 10.1080/27660400.2023.2232297

• Zetian Mao, Yoshiki Matsuda, Ryo Tamura, and Koji Tsuda. Chemical design with GPU-based Ising machines. Digital Discovery 2 (2023) 1098-1103.
  DOI: 10.1039/D3DD00047H

• Guillaume Deffrennes, Kei Terayama, Taichi Abe, Etsuko Ogamino, and Ryo Tamura. A framework to predict binary liquidus by combining machine learning and CALPHAD assessments. Materials & Design. 232 (2023) 112111.
  DOI: 10.1016/j.matdes.2023.112111

• Jianbo Lin, Ryo Tamura, Yasunori Futamura, Tetsuya Sakurai, and Tsuyoshi Miyazaki. Determination of hyper-parameters in the atomic descriptors for efficient and robust molecular dynamics simulations with machine learning forces. Physical Chemistry Chemical Physics. 25 [27] (2023) 17978-17986.
  DOI: 10.1039/D3CP01922E

• Andrejs Tučs, Francois Berenger, Akiko Yumoto, Ryo Tamura, Takanori Uzawa, and Koji Tsuda. Quantum Annealing Designs Nonhemolytic Antimicrobial Peptides in a Discrete Latent Space. ACS Medicinal Chemistry Letters. 14 [5] (2023) 577–582
  DOI: 10.1021/acsmedchemlett.2c00487

• Kota Shiba, Chao Zhuang, Kosuke Minami, Gaku Imamura, Ryo Tamura, Sadaki Samitsu, Takumi Idei, Genki Yoshikawa, Luyi Sun, and David A. Weitz. Visualization of Flow‐Induced Strain Using Structural Color in Channel‐Free Polydimethylsiloxane Devices. Advanced Science. 10 [1] (2023) 2204310
  DOI: 10.1002/advs.202204310