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Science and Technology of Advanced Materials: Methods
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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
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
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
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
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
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
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
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
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
,
Kosuke Tanabe
,
Asahiko Matsuda
,
Hironori Ofuchi
,
Takahiro Matsumoto
,
Toyonari Yaji
,
Yasuhiro Inada
,
Hiroaki Nitani
,
Masao Kimura
, and
Kiyotaka Asakura
Journal:
Science and Technology of Advanced Materials: Methods
Date Uploaded:
08/06/2023
Date Modified:
07/06/2024
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The history of DICE and NIMS Digital Library
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Alloy design
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Informa UK Limited
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Creative Commons BY Attribution 4.0 International
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Masashi Ishii
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Asahiko Matsuda
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Journal
Science and Technology of Advanced Materials: Methods
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