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Science and Technology of Advanced Materials
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Global snapshot of the effects of the COVID-19 pandemic on the research activities of materials scientists between Spring and Autumn 2020
Description/Abstract:
We conducted a global survey on the effects of the COVID-19 pandemic on the research activities of materials scientists by distributing a...
Keyword:
COVID-19
,
materials science
,
scientific research
,
pandemic
,
lockdown
,
virtual conference
,
COVID-19 survey
,
science careers
,
crisis management
, and
research management
Resource Type:
Report
Author:
SANDHU, Adarsh
,
HANY, Roland
,
HIROHATA, Atsufumi
,
HISHITA, Shunichi
,
KIMLICKA, Ken
,
NAITO, Masanobu
, and
NISHIMURA, Chikashi
Journal:
Science and Technology of Advanced Materials
Date Uploaded:
17/11/2021
Date Modified:
01/12/2021
Environmentally friendly recycling system for epoxy resin with dynamic covalent bonding
Description/Abstract:
Recycling of epoxy resin and its composites is extremely difficult due to its thermoset nature. In this study, we proposed the environmen...
Keyword:
Epoxy resin
,
aromatic disulfide bonding
,
degradation
,
glutathione
, and
recycling
Resource Type:
Article
Author:
TSAI, Hsing-Ying
,
FUJITA, Takehiro
,
WANG, Siqian
, and
NAITO, Masanobu
Journal:
Science and Technology of Advanced Materials
Date Uploaded:
17/11/2021
Date Modified:
01/12/2021
Data-based selection of creep constitutive models for high-Cr heat-resistant steel
Description/Abstract:
There are two types of creep constitutive equation, one with a steady-state term (steady-state type) and the other with no steady-state t...
Keyword:
Creep constitutive equation
,
grade 91 steel
,
bayesian free energy
,
model selection method
,
theta method
, and
steady-state creep
Resource Type:
Article
Author:
Izuno, Hitoshi
,
Demura, Masahiko
,
Tabuchi, Masaaki
,
Mototake, Yoh-ichi
, and
Okada, Masato
Journal:
Science and Technology of Advanced Materials
Date Uploaded:
15/07/2021
Date Modified:
01/11/2022
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
MDTS: automatic complex materials design using Monte Carlo tree search
Description/Abstract:
Complex materials design is often represented as a black-box combinatorial optimization problem. In this paper, we present a novel python...
Keyword:
Monte Carlo tree search
and
materials design
Resource Type:
Article
Author:
Ju, Shenghong
,
Tsuda, Koji
,
Shiomi, Junichiro
,
Yoshizoe, Kazuki
,
Dieb, Thaer M.
, and
Hou, Zhufeng
Journal:
Science and Technology of Advanced Materials
Date Uploaded:
02/10/2020
Date Modified:
16/10/2020
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Science and Technology of Advanced Materials
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