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Filtering by: Creator Naito, Masanobu Date 2019 Rights Statement Sim Creative Commons BY Attribution 4.0 International

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
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