Index Catalog // MDR

Description/Abstract:: To enhance semiconductor efficiency, it is imperative to develop a die-bonding material possessing exceptional thermal conductivity and s...
Keyword:: Multi-objective topology optimization, finite element analysis, highthroughput evaluation, microstructure design, and porous microstructure
Resource Type:: Article
Author:: Jiaxin Zhou, Ikumu Watanabe, Weikang Song, Keita Kambayashi, and Ta-Te Chen
Journal:: Science and Technology of Advanced Materials: Methods
Date Uploaded:: 12/04/2024

Description/Abstract:: We develop a high-throughput method for measuring the composition dependence of magnetoresistance (MR) and spin-transfer-torque (STT) eff...
Keyword:: Co-Fe system, combinatorial sputtering, composition-gradient film, high-throughput measurement, magnetoresistance, and spin-transfer torque
Resource Type:: Article
Author:: Vineet Barwal, Hirofumi Suto, Tomohiro Taniguchi, and Yuya Sakuraba
Journal:: Science and Technology of Advanced Materials: Methods
Date Uploaded:: 28/12/2023

Description/Abstract:: A comprehensive elemental screening framework is proposed to predict the solid-solution strengthening and electrical resistivity of copp...
Keyword:: Alloy design, Copper alloys, Density functional theory (DFT), Electrical resistivity / conductivity, and Mechanical properties
Resource Type:: Article
Author:: Kenji Yamaguchi, Takuya Ishigaki, Yuki Inoue, Shuhei Arisawa, Hirotaka Matsunoshita, Yuki Ito, Hiroyuki Mori, Ken’ichiro Suehiro, Kazunari Maki, Kenji Nagata, and Masahiko Demura
Journal:: Science and Technology of Advanced Materials: Methods
Date Uploaded:: 02/11/2023
Date Modified:: 02/11/2023

Description/Abstract:: Recently, autonomous material search methods combining machine learning and experiments/simulations have become indispensable for explori...
Keyword:: Machine learning
Resource Type:: Article
Author:: Jaekyun Hwang and Yuma Iwasaki
Journal:: Science and Technology of Advanced Materials: Methods
Date Uploaded:: 27/10/2023

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

Description/Abstract:: NIMS-OS (NIMS Orchestration System) is a Python library created to realize a closed loop of robotic experiments and artificial intelligen...
Keyword:: NIMS-OS, artificial intelligence, and robotic experiments
Resource Type:: Article
Author:: Ryo Tamura, Koji Tsuda, and Shoichi Matsuda
Journal:: Science and Technology of Advanced Materials: Methods
Date Uploaded:: 20/10/2023

Description/Abstract:: Applying historical human-readable databases to recent data-driven science is a natural concept. However, this cannot be realized by simp...
Keyword:: RDF, SuperCon, knowledge base, ontology, and superconducting material
Resource Type:: Article
Author:: Masashi Ishii and Koichi Sakamoto
Journal:: Science and Technology of Advanced Materials: Methods
Date Uploaded:: 04/07/2023
Date Modified:: 04/07/2023

Description/Abstract:: With the aim of introducing data-driven science and establishing an infrastructure for making XAFS spectra findable and reusable, we have...
Keyword:: DOI, RDF, X-ray absorption fine structure, data integration, materials data repository, and metadata
Resource Type:: Article
Author:: Masashi Ishii
Journal:: Science and Technology of Advanced Materials: Methods
Date Uploaded:: 08/06/2023
Date Modified:: 12/06/2023

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