Ryo Tamura

University of Tokyo

Japan

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Articles (11)

To enable robots to perform the creation of new odors by blending existing ones automatically, we developed an automated odor-blending system using membrane-type surface stress sensors and machine learning.

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2024

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2023

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2022

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2022

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2022

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2022

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2022

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2022

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2022

Year:

2022

Year:

2022

Collaborators (5)

Koji Tsuda

JAPAN

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Akira Takahashi

Tokyo Institute of Technology

JAPAN

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Ikumu Watanabe

National Institute for Materials Science

JAPAN

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Genki Yoshikawa

University of Tsukuba

JAPAN

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Takehiro FUJITA

National Institute for Materials Science

JAPAN

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Ryo Tamura

Research Interests

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Articles (11)

Automated odor-blending with one-pot Bayesian optimization

Visualization of Flow‐Induced Strain Using Structural Color in Channel‐Free Polydimethylsiloxane Devices

Understanding the evolution of a de novo molecule generator via characteristic functional group monitoring

Topological alternation from structurally adaptable to mechanically stable crosslinked polymer

Adaptive sampling methods via machine learning for materials screening

Recent Advances in Nanomechanical Membrane-Type Surface Stress Sensors towards Artificial Olfaction

Automatic Rietveld refinement by robotic process automation with RIETAN-FP

Understanding Chemical Processes with Entropic Sampling

Machine-Learning-Based phase diagram construction for high-throughput batch experiments

QCforever: A Quantum Chemistry Wrapper for Everyone to Use in Black-Box Optimization

Bayesian optimization package: PHYSBO

Collaborators (5)

Koji Tsuda

Akira Takahashi

Ikumu Watanabe

Genki Yoshikawa

Takehiro FUJITA

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