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11.
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
12.
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
13.
SuperMat: Construction of a linked annotated dataset from superconductors-related publications
Description/Abstract:
A growing number of papers are published in the area of superconducting materials science. However, novel text and data mining (TDM) pro...
Keyword:
annotation
,
annotation guidelines
,
dataset
,
superconductors
, and
tdm
Resource Type:
Article
Author:
FOPPIANO, Luca
,
DIEB, Sae
,
SUZUKI, Akira
,
BAPTISTA DE CASTRO, Pedro
,
IWASAKI, Suguru
,
UZUKI, Azusa
,
ESPARZA ECHEVARRIA, Miren Garbine
,
MENG, Yan
,
TERASHIMA, Kensei
,
TAKANO, Yoshihiko
, and
ISHII, Masashi
Date Uploaded:
07/01/2021
Date Modified:
01/07/2021
14.
Free Analysis and Visualization Programs for Electrochemical Impedance Spectroscopy Coded in Python
Description/Abstract:
New programs for fitting using an equivalent circuit model and data visualization of electrochemical impedance spectroscopy were develope...
Keyword:
data visualization
,
electrochemical impedance
,
free software
, and
model fitting
Resource Type:
Article
,
Video
, and
Software or Program Code
Author:
SUZUKI, Tohru S.
and
KOBAYASHI, Kiyoshi
Journal:
Electrochemistry
Date Uploaded:
08/02/2021
Date Modified:
10/02/2021
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