Ryo Tamura

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 22

Top Topics

Machine Learning

Atomic Force Microscopy

Molecular Dynamics

Top Venues

Science and technology of advanced materials

Physical chemistry chemical physics : PCCP

ACS medicinal chemistry letters

ACS central science

This page only lists publications with an associated author ORCID identifier.

Publications

Ryo Tamura, Kenji Nagata, Keitaro Sodeyama, Kensaku Nakamura, Toshiki Tokuhira, Satoshi Shibata, Kazuki Hammura, Hiroki Sugisawa, Masaya Kawamura, Teruki Tsurimoto, Masanobu Naito, Masahiko Demura, Takashi Nakanishi
Machine learning prediction of the mechanical properties of injection-molded polypropylene through X-ray diffraction analysis. Science and technology of advanced materials 25 (1) (2024)
Ryo Tamura, Kenji Nagata, Keitaro Sodeyama, Kensaku Nakamura, Toshiki Tokuhira, Satoshi Shibata, Kazuki Hammura, Hiroki Sugisawa, Masaya Kawamura, Teruki Tsurimoto, Masanobu Naito, Masahiko Demura, Takashi Nakanishi
Machine learning prediction of the mechanical properties of injection-molded polypropylene through X-ray diffraction analysis. Science and technology of advanced materials 25 (1) (2024)
Anh Khoa Augustin Lu, Jian-Bo Lin, Yasunori Futamura, Tetsuya Sakurai, Ryo Tamura, Tsuyoshi Miyazaki
Extraction of local structure differences in silica based on unsupervised learning. Physical chemistry chemical physics : PCCP (2024)
Anh Khoa Augustin Lu, Jian-Bo Lin, Yasunori Futamura, Tetsuya Sakurai, Ryo Tamura, Tsuyoshi Miyazaki
Extraction of local structure differences in silica based on unsupervised learning. Physical chemistry chemical physics : PCCP 26 (15) (2024)
Ken Sakaushi, Watcharaporn Hoisang, Ryo Tamura
Human-Machine Collaboration for Accelerated Discovery of Promising Oxygen Evolution Electrocatalysts with On-Demand Elements. ACS central science 9 (12) (2023)
Ken Sakaushi, Watcharaporn Hoisang, Ryo Tamura
Human-Machine Collaboration for Accelerated Discovery of Promising Oxygen Evolution Electrocatalysts with On-Demand Elements. ACS central science 9 (12) (2023)
Andrejs Tučs, Francois Berenger, Akiko Yumoto, Ryo Tamura, Takanori Uzawa, Koji Tsuda
Quantum Annealing Designs Nonhemolytic Antimicrobial Peptides in a Discrete Latent Space. ACS medicinal chemistry letters 14 (5) (2023)
Jian-Bo Lin, Ryo Tamura, Yasunori Futamura, Tetsuya Sakurai, 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 : PCCP (2023)
Andrejs Tučs, Francois Berenger, Akiko Yumoto, Ryo Tamura, Takanori Uzawa, Koji Tsuda
Quantum Annealing Designs Nonhemolytic Antimicrobial Peptides in a Discrete Latent Space. ACS medicinal chemistry letters 14 (5) (2023)
Kei Terayama, Yamato Osaki, Takehiro Fujita, Ryo Tamura, Masanobu Naito, Koji Tsuda, Toru Matsui, 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 (2023)
Hongxin Wang, Han Zhang, Ryo Tamura, Bo Da, Shimaa A Abdellatef, Ikumu Watanabe, Nobuyuki Ishida, Daisuke Fujita, Nobutaka Hanagata, Tomoki Nakagawa, 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)
Masato Sumita, Kei Terayama, Naoya Suzuki, Shinsuke Ishihara, Ryo Tamura, Mandeep K Chahal, Daniel T Payne, Kazuki Yoshizoe, Koji Tsuda
De novo creation of a naked eye-detectable fluorescent molecule based on quantum chemical computation and machine learning. Science advances 8 (10) (2022)
Masato Sumita, Kei Terayama, Ryo Tamura, Koji Tsuda
QCforever: A Quantum Chemistry Wrapper for Everyone to Use in Black-Box Optimization. Journal of chemical information and modeling 62 (18) (2022)
Wei-Hsun Hu, Ta-Te Chen, Ryo Tamura, Kei Terayama, Siqian Wang, Ikumu Watanabe, Masanobu Naito
Topological alternation from structurally adaptable to mechanically stable crosslinked polymer. Science and technology of advanced materials 23 (1) (2022)
Kota Shiba, Chao Zhuang, Kosuke Minami, Gaku Imamura, Ryo Tamura, Sadaki Samitsu, Takumi Idei, Genki Yoshikawa, Luyi Sun, David A Weitz
Visualization of Flow-Induced Strain Using Structural Color in Channel-Free Polydimethylsiloxane Devices. Advanced science (Weinheim, Baden-Wurttemberg, Germany) (2022)
Takehiro Fujita, Kei Terayama, Masato Sumita, Ryo Tamura, Yasuyuki Nakamura, Masanobu Naito, Koji Tsuda
Understanding the evolution of a de novo molecule generator via characteristic functional group monitoring. Science and technology of advanced materials 23 (1) (2022)
Xiaolin Sun, Ryo Tamura, Masato Sumita, Kenichi Mori, Kei Terayama, Koji Tsuda
Integrating Incompatible Assay Data Sets with Deep Preference Learning. ACS medicinal chemistry letters 13 (1) (2021)
Hongxin Wang, Han Zhang, Bo Da, Dabao Lu, Ryo Tamura, Kenta Goto, Ikumu Watanabe, Daisuke Fujita, Nobutaka Hanagata, Junko Kano, Tomoki Nakagawa, Masayuki Noguchi
Mechanomics Biomarker for Cancer Cells Unidentifiable through Morphology and Elastic Modulus. Nano letters 21 (3) (2021)
Kei Terayama, Masato Sumita, Ryo Tamura, Koji Tsuda
Black-Box Optimization for Automated Discovery. Accounts of chemical research 54 (6) (2021)
Kei Terayama, Masato Sumita, Ryo Tamura, Daniel T Payne, Mandeep K Chahal, Shinsuke Ishihara, Koji Tsuda
Pushing property limits in materials discovery via boundless objective-free exploration. Chemical science 11 (23) (2020)
Ryo Tamura, Makoto Watanabe, Hiroaki Mamiya, Kota Washio, Masao Yano, Katsunori Danno, Akira Kato, Tetsuya Shoji
Materials informatics approach to understand aluminum alloys. Science and technology of advanced materials 21 (1) (2020)
Ryo Tamura, Koji Hukushima
Bayesian optimization for computationally extensive probability distributions. PloS one 13 (3) (2018)