FIR filter design on Flexible Engine/Generic ALU array and its dedicated synthesis algorithm. - Ryo Tamura; Masayuki Honma; Nozomu Togawa; Masao Yanagisawa; Tatsuo Ohtsuki; Makoto Satoh (APCCAS, 2008)

Accurate error bit mode analysis of STT-MRAM chip with a novel current measurement module implemented to gigabit class memory test system. - Ryo Tamura; I. Mori; N. Watanabe; Hiroki Koike; Tetsuo Endoh (NVMTS, 2018)

A novel memory test system with an electromagnet for STT-MRAM testing. - Ryo Tamura; N. Watanabe; Hiroki Koike; Hideo Sato; Shoji Ikeda; Tetsuo Endoh; Soshi Sato (NVMTS, 2019)

Leveraging Legacy Data to Accelerate Materials Design via Preference Learning. - Xiaolin Sun; Zhufeng Hou; Masato Sumita; Shinsuke Ishihara; Ryo Tamura; Koji Tsuda (CoRR, 2019)

Data-driven determination of the spin Hamiltonian parameters and their uncertainties: The case of the zigzag-chain compound KCu4P3O12. - Ryo Tamura; Koji Hukushima; Akira Matsuo; Koichi Kindo; Masashi Hase (CoRR, 2020)

Continuous black-box optimization with quantum annealing and random subspace coding. - Syun Izawa; Koki Kitai; Shu Tanaka; Ryo Tamura; Koji Tsuda (CoRR, 2021)

Statistical Evaluation of Total Expiratory Breath Samples Collected throughout a Year: Reproducibility and Applicability toward Olfactory Sensor-Based Breath Diagnostics. - Katsushige Inada; Hiroshi Kojima; Yukiko Cho-Isoda; Ryo Tamura; Gaku Imamura; Kosuke Minami; Takahiro Nemoto; Genki Yoshikawa (Sensors, 2021)

Black-box optimization for integer-variable problems using Ising machines and factorization machines. - Yuya Seki; Ryo Tamura; Shu Tanaka (CoRR, 2022)

Bayesian optimization package: PHYSBO. - Yuichi Motoyama; Ryo Tamura; Kazuyoshi Yoshimi; Kei Terayama; Tsuyoshi Ueno; Koji Tsuda (Comput. Phys. Commun., 2022)

QCforever: A Quantum Chemistry Wrapper for Everyone to Use in Black-Box Optimization. - Masato Sumita; Kei Terayama; Ryo Tamura; Koji Tsuda (J. Chem. Inf. Model., 2022)

NIMS-OS: An automation software to implement a closed loop between artificial intelligence and robotic experiments in materials science. - Ryo Tamura; Koji Tsuda; Shoichi Matsuda (CoRR, 2023)

Interpretable Fragment-Based Molecule Design with Self-Learning Entropic Population Annealing. - Jiawen Li; Masato Sumita; Ryo Tamura; Koji Tsuda (Adv. Intell. Syst., 2023)

Revealing factors influencing polymer degradation with rank-based machine learning. - Weilin Yuan; Yusuke Hibi; Ryo Tamura; Masato Sumita; Yasuyuki Nakamura; Masanobu Naito; Koji Tsuda (Patterns, 2023)

Target Material Property-Dependent Cluster Analysis of Inorganic Compounds. - Nobuya Sato; Akira Takahashi; Shin Kiyohara; Kei Terayama; Ryo Tamura; Fumiyasu Oba (Adv. Intell. Syst., 2024)

CRYSIM: Prediction of Symmetric Structures of Large Crystals with GPU-based Ising Machines. - Chen Liang; Diptesh Das; Jiang Guo; Ryo Tamura; Zetian Mao; Koji Tsuda (CoRR, 2025)

Exploring utilization of generative AI for research and education in data-driven materials science. - Takahiro Misawa; Ai Koizumi; Ryo Tamura; Kazuyoshi Yoshimi (CoRR, 2025)

aLLoyM: A large language model for alloy phase diagram prediction. - Yuna Oikawa; Guillaume Deffrennes; Taichi Abe; Ryo Tamura; Koji Tsuda (CoRR, 2025)