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Naito, Masanobu
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Date
2019
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1.
Microbubble flows in superwettable fluidic channels
Description/Abstract:
The control of bubble adhesion underwater is important for various applications, yet the dynamics under flow conditions are still to be u...
Keyword:
microbubble
and
superwettability
Resource Type:
Article
Author:
Doi, Kotaro
,
Naito, Masanobu
, and
Tenjimbayashi, Mizuki
Journal:
RSC Advances
Date Uploaded:
02/01/2021
Date Modified:
18/10/2022
2.
Prediction and optimization of epoxy adhesive strength from a small dataset through active learning
Description/Abstract:
Machine learning is emerging as a powerful tool for the discovery of novel high-performance functional materials. However, experimental d...
Keyword:
Machine learning
,
active learning
, and
adhesive
Resource Type:
Article
Author:
Pruksawan, Sirawit
,
Lambard, Guillaume
,
Samitsu, Sadaki
,
Sodeyama, Keitaro
, and
Naito, Masanobu
Journal:
Science and Technology of Advanced Materials
Date Uploaded:
02/01/2021
Date Modified:
18/10/2022
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Machine learning
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microbubble
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superwettability
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English
2
Publisher
Royal Society of Chemistry
1
Taylor & Francis
1
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Article
2
Visibility
open
2
Rights Statement Sim
Creative Commons BY Attribution 4.0 International
2
Date
2019
[remove]
2
Author
Naito, Masanobu
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2
Doi, Kotaro
1
Lambard, Guillaume
1
Pruksawan, Sirawit
1
Samitsu, Sadaki
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License
https://creativecommons.org/licenses/by/4.0/
2
Journal
RSC Advances
1
Science and Technology of Advanced Materials
1