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Filtering by: Author Masato Okada

Descriptor extraction on inherent creep strength of carbon steel by exhaustive search

Description/Abstract:

炭素鋼の基底クリープ強度領域におけるクリープ寿命モデルを提案し、ベイズ統計によるモデル選択手法を適用することで、Moが単独で効果を有することを見出した。

Keyword:

Bayesian inference, Carbon steel, Creep rupture, Exhaustive search, Inherent creep strength, Larson–miller parameter, and Model selection

Resource Type:

Article

Author:

Junya Sakurai, Masahiko Demura, Yoh-ichi Mototake, Masato Okada, Masayoshi Yamazaki, and Junya Inoue

Journal:

Science and Technology of Advanced Materials: Methods

Date Uploaded:

24/10/2023
Sample structure prediction from measured XPS data using Bayesian estimation and SESSA simulator

Description/Abstract:

We have developed a framework for solving the inverse problem of X-ray photoelectron spectroscopy (XPS) by incorporating an XPS simulator...

Keyword:

Bayesian estimation, Exchange Monte Carlo method, SESSA, and X-ray photoelectron spectroscopy

Resource Type:

Article

Author:

Hiroshi Shinotsuka, Kenji Nagata, Malinda Siriwardana, Hideki Yoshikawa, Hayaru Shouno, and Masato Okada

Journal:

JOURNAL OF ELECTRON SPECTROSCOPY AND RELATED PHENOMENA

Date Uploaded:

25/08/2023

Date Modified:

25/08/2023