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Recent Advances in Nanomechanical Membrane-Type Surface Stress Sensors towards Artificial Olfaction
Description/Abstract:
Nanomechanical sensors have gained significant attention as powerful tools for detecting, dis-tinguishing, and identifying target analyte...
Keyword:
nanomechanical sensors
Resource Type:
Article
Author:
Kosuke Minami
,
Gaku Imamura
,
Ryo Tamura
,
Kota Shiba
, and
Genki Yoshikawa
Journal:
Biosensors-Basel
Date Uploaded:
25/07/2023
Statistical Evaluation of Total Expiratory Breath Samples Collected throughout a Year: Reproducibility and Applicability toward Olfactory Sensor-Based Breath Diagnostics
Description/Abstract:
The endogenous volatile organic compounds (VOCs) in exhaled breath can be promising biomarkers for various diseases including cancers. An...
Keyword:
breath analysis
and
nanomechanical sensors
Resource Type:
Article
Author:
Katsushige Inada
,
Hiroshi Kojima
,
Yukiko Cho-Isoda
,
Ryo Tamura
,
Gaku Imamura
,
Kosuke Minami
,
Takahiro Nemoto
, and
Genki Yoshikawa
Journal:
SENSORS
Date Uploaded:
25/07/2023
Topological alternation from structurally adaptable to mechanically stable crosslinked polymer
Description/Abstract:
Stimuli-responsive polymers with complicated but controllable shape-morphing behaviors are critically desirable in several engineering f...
Keyword:
Covalent adaptable network polymer
,
creep deformation
,
shape-morphing polymer material
, and
topological alternation
Resource Type:
Article
Author:
Wei-Hsun Hu
,
Ta-Te Chen
,
Ryo Tamura
,
Kei Terayama
,
Siqian Wang
,
Ikumu Watanabe
, and
Masanobu Naito
Date Uploaded:
02/03/2023
Ranking Pareto optimal solutions based on projection free energy
Description/Abstract:
Based on available datasets prepared by numerical simulations and machine learning, maps of properties for materials that have not yet be...
Keyword:
Pareto solutions
,
free energy
, and
semiconductor
Resource Type:
Article
Author:
Ryo Tamura
,
Kei Terayama
,
Masato Sumita
, and
Koji Tsuda
Journal:
Physical Review Materials
Date Uploaded:
04/10/2023
Date Modified:
04/10/2023
NIMS-OS: An automation software to implement a closed loop between artificial intelligence and robotic experiments in materials science
Description/Abstract:
NIMS-OS (NIMS Orchestration System) is a Python library created to realize a closed loop of robotic experiments and artificial intelligen...
Keyword:
NIMS-OS
,
artificial intelligence
, and
robotic experiments
Resource Type:
Article
Author:
Ryo Tamura
,
Koji Tsuda
, and
Shoichi Matsuda
Journal:
Science and Technology of Advanced Materials: Methods
Date Uploaded:
20/10/2023
Revealing factors influencing polymer degradation with rank-based machine learning
Description/Abstract:
The efficient treatment of polymer waste is a major challenge to marine sustainability. It is useful to reveal the factors that dominate ...
Keyword:
PoLyInfo
,
polymer degradation
, and
rank-based machine learning
Resource Type:
Article
Author:
Weilin Yuan
,
Yusuke Hibi
,
Ryo Tamura
,
Masato Sumita
,
Yasuyuki Nakamura
,
Masanobu Naito
, and
Koji Tsuda
Journal:
Patterns
Date Uploaded:
10/11/2023
Understanding the evolution of a de novo molecule generator via characteristic functional group monitoring
Description/Abstract:
AIを用いた機能性有機化合物の開発。
Keyword:
De novo molecule generation
,
characteristic functional group monitoring
,
chromophore
, and
deep learning
Resource Type:
Article
Author:
Takehiro Fujita
,
Kei Terayama
,
Masato Sumita
,
Ryo Tamura
,
Yasuyuki Nakamura
,
Masanobu Naito
, and
Koji Tsuda
Date Uploaded:
15/02/2023
Date Modified:
20/03/2024
Inelastic neutron scattering studies on the eight-spin zigzag-chain compound <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mrow><mml:msub><mml:mi>KCu</mml:mi><mml:mn>4</mml:mn></mml:msub><mml:msub><mml:mi mathvariant="normal">P</mml:mi><mml:mn>3</mml:mn></mml:msub><mml:msub><mml:mi mathvariant="normal">O</mml:mi><mml:mn>12</mml:mn></mml:msub></mml:mrow></mml:math>: Confirmation of the validity of a data-driven technique based on machine learning
Description/Abstract:
We performed inelastic neutron scattering (INS) experiments on KCu4P3O12 powder and compared the experimental results with those calculat...
Keyword:
Inelastic neutron scattering
,
data-driven technique based on machine learning
, and
eight-spin zigzag-chain compound KCu4P3O12
Resource Type:
Article
Author:
Masashi Hase
,
Ryo Tamura
,
Koji Hukushima
,
Shinichiro Asai
,
Takatsugu Masuda
,
Shinichi Itoh
, and
Andreas Dönni
Journal:
Physical Review B
Date Uploaded:
18/04/2024
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