Index Catalog // MDR

1. Multi-objective topology optimization of porous microstructure in die-bonding layer of a semiconductor

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

2. Visualization of spin-polarized electronic states by imaging-type spin-resolved photoemission microscopy

Description/Abstract:: Visualizing spin-polarized electronic states aids in designing and developing new materials and devices. Spin-resolved photoemission spec...
Keyword:: High spatial resolution, Multichannel spin detection, Spin-polarized electronic state, and Spin-resolved photoemission microscopy
Resource Type:: Article
Author:: Koichiro Yaji and Shunsuke Tsuda
Journal:: Science and Technology of Advanced Materials: Methods
Date Uploaded:: 04/04/2024

3. Detailed and high-throughput measurement of composition dependence of magnetoresistance and spin–transfer torque using a composition-gradient film: application to CoxFe1-x (0 ≤ x ≤ 1) system

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

4. Comprehensive elemental screening of solid-solution copper alloys

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

5. Improving efficiency of autonomous material search via transfer learning from nontarget properties

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

6. 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

7. NIMS-OS: An automation software to implement a closed loop between artificial intelligence and robotic experiments in materials science

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

8. Structuring Superconductor Data with Ontology: Reproducing Historical Datasets as Knowledge

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

9. Integration of X-ray Absorption Fine Structure Databases for Data-Driven Materials Science

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

1. Multi-objective topology optimization of porous microstructure in die-bonding layer of a semiconductor

2. Visualization of spin-polarized electronic states by imaging-type spin-resolved photoemission microscopy

3. Detailed and high-throughput measurement of composition dependence of magnetoresistance and spin–transfer torque using a composition-gradient film: application to CoxFe1-x (0 ≤ x ≤ 1) system

4. Comprehensive elemental screening of solid-solution copper alloys

5. Improving efficiency of autonomous material search via transfer learning from nontarget properties

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

7. NIMS-OS: An automation software to implement a closed loop between artificial intelligence and robotic experiments in materials science

8. Structuring Superconductor Data with Ontology: Reproducing Historical Datasets as Knowledge

9. Integration of X-ray Absorption Fine Structure Databases for Data-Driven Materials Science

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1. Multi-objective topology optimization of porous microstructure in die-bonding layer of a semiconductor

2. Visualization of spin-polarized electronic states by imaging-type spin-resolved photoemission microscopy

3. Detailed and high-throughput measurement of composition dependence of magnetoresistance and spin–transfer torque using a composition-gradient film: application to CoxFe1-x (0 ≤ x ≤ 1) system

4. Comprehensive elemental screening of solid-solution copper alloys

5. Improving efficiency of autonomous material search via transfer learning from nontarget properties

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

7. NIMS-OS: An automation software to implement a closed loop between artificial intelligence and robotic experiments in materials science

8. Structuring Superconductor Data with Ontology: Reproducing Historical Datasets as Knowledge

9. Integration of X-ray Absorption Fine Structure Databases for Data-Driven Materials Science

Limit your search