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Naito, Masanobu
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Coalescence delay of microbubbles on superhydrophobic/superhydrophilic surfaces underwater
Description/Abstract:
Inspired by penguins, the formation of an air film on surfaces underwater has been well-researched for the potential reduction of drag. H...
Keyword:
microbubble
,
superhydrophilic
, and
superhydrophobic
Resource Type:
Article
Author:
Kawase, Yudai
,
Doi, Kotaro
,
Naito, Masanobu
,
Ng, Chen Xian
, and
Tenjimbayashi, Mizuki
Journal:
Applied Physics Letters
Date Uploaded:
02/01/2021
Date Modified:
18/10/2022
Bioinspired adhesive polymer coatings for efficient and versatile corrosion resistance
Description/Abstract:
The anticorrosion ability of ultrathin coatings with bio-inspired organic polymers is demonstrated. We prepared a series of catechol-co...
Keyword:
adhesive
,
bioinspired
, and
corrosion
Resource Type:
Article
Author:
Payra, Debabrata
,
Naito, Masanobu
,
Fujii, Yoshihisa
,
Yamada, Norifumi L.
,
Hiromoto, Sachiko
, and
Sing, Alok
Journal:
RSC Advances
Date Uploaded:
02/01/2021
Date Modified:
01/07/2021
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
Duplicate: Strengthening epoxy adhesives at elevated temperatures based on dynamic disulfide bonds
Description/Abstract:
This publication can be found at https://mdr.nims.go.jp/concern/publications/5999n629f
Keyword:
Unavailable
Resource Type:
Article
Author:
Naito, Masanobu
,
Nakamura, Yasuyuki
,
Fujita, Takehiro
, and
Tsai, Hsing-Ying
Journal:
Materials Advances
Date Uploaded:
02/01/2021
Date Modified:
15/11/2022
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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Royal Society of Chemistry
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5
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Creative Commons BY Attribution 4.0 International
2
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Creative Commons BY-NC Attribution-NonCommercial 4.0 International
1
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Naito, Masanobu
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