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Filtering by: Journal Science and Technology of Advanced Materials Type of work Publication Publisher Taylor & Francis Resource type Article

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