Keyword: machine learning

24 records found. Displaying records 1 to 10.

2025 ogawa APL final.pdf
Er-driven magnetic tunability in FePt thin films investigated via high-throughput experiments and microstructure analysis for future HAMR media
Journal article
Creator
Daisuke Ogawa (author) (Search by this author)
ORCID SAMURAI ;
Yuma Iwasaki (author) (Search by this author)
ORCID SAMURAI ;
Jun Uzuhashi (author) (Search by this author)
ORCID SAMURAI ;
Yuta Sasaki (author) (Search by this author)
ORCID SAMURAI ;
Masato Kotsugi (author) (Search by this author)
;
Yukiko K. Takahashi (author) (Search by this author)
ORCID SAMURAI
Keyword
heat-assisted magnetic recording, FePt, combinatorial, high throughput, machine learning, rare-earth doping
Date published
2025-06-23
Updated at
2025-07-11 08:30:48 +0900

d2ma00881e.pdf
Rapid discovery of new Eu2+-activated phosphors with a designed luminescence color using a data-driven approach
Journal article
Creator
Yukinori Koyama (author) (Search by this author)
Research and Services Division of Materials Data and Integrated System, National Institute for Materials Science
ORCID SAMURAI ;
Hidekazu Ikeno (author) (Search by this author)
Osaka Metropolitan University
;
Masamichi Harada (author) (Search by this author)
Research Center for Functional Materials, National Institute for Materials Science
;
Shiro Funahashi (author) (Search by this author)
Research Center for Functional Materials, National Institute for Materials Science
;
Takashi Takeda (author) (Search by this author)
Research Center for Functional Materials, National Institute for Materials Science
ORCID SAMURAI ;
Naoto Hirosaki (author) (Search by this author)
Research Center for Functional Materials, National Institute for Materials Science
Keyword
phosphor, materials design, machine learning, luminescence, emission spectrum, Eu2+
Date published
2022-11-29
Updated at
2024-01-05 22:11:23 +0900

esi_clean.pdf
Multiobjective Solid Electrolyte Design of Tetragonal and Cubic Inverse-Perovskites for All-Solid-State Lithium-Ion Batteries by High-Throughput Density Functional Theory Calculations and AI-Driven Methods
Journal article
Creator
JALEM Randy (author) (Search by this author)
Research Center for Energy and Environmental Materials (GREEN)/Battery and Cell Materials Field/Interface Electrochemistry Group, National Institute for Materials Science
ORCID SAMURAI ;
TATEYAMA Yoshitaka (author) (Search by this author)
Research Center for Energy and Environmental Materials (GREEN)/Battery and Cell Materials Field/Interface Electrochemistry Group, National Institute for Materials Science
ORCID SAMURAI ;
TAKADA Kazunori (author) (Search by this author)
Research Center for Energy and Environmental Materials (GREEN)/Battery and Cell Materials Field/Solid-State Battery Group, National Institute for Materials Science
ORCID SAMURAI ;
JANG Seonghoon (author) (Search by this author)
Research Center for Energy and Environmental Materials (GREEN)/Battery and Cell Materials Field/Interface Electrochemistry Group, National Institute for Materials Science
Keyword
all solid state batteries, solid electrolytes, density functional theory, materials informatics, machine learning, novel materials search
Date published
2023-09-07
Updated at
2024-08-28 08:30:15 +0900

Understanding strain localization in metallic materials  a review of high-resolution digital image correlation and related techniques.pdf
Understanding strain localization in metallic materials: a review of high-resolution digital image correlation and related techniques
Journal article
Creator
ORCID SAMURAI ;
T. E.J. Edwards (author) (Search by this author)
;
J. Quinta da Fonseca (author) (Search by this author)
;
J. -C. Stinville (author) (Search by this author)
;
D. Texier (author) (Search by this author)
;
T. Vermeij (author) (Search by this author)
Keyword
High-resolution digital image correlation, strain localization, crystal plasticity, data merging, metallic materials, machine learning
Date published
2026-12-31
Updated at
2026-03-13 08:30:04 +0900

Automatic extraction of materials and properties from superconductors scientific literature.pdf
Automatic extraction of materials and properties from superconductors scientific literature
Journal
Creator
Luca Foppiano (author) (Search by this author)
ORCID ;
Pedro Baptista Castro (author) (Search by this author)
MANA, NIMS
ORCID ;
Pedro Ortiz Suarez (author) (Search by this author)
Data and Web Science Group, University of Mannheim
ORCID ; ORCID SAMURAI ; ORCID SAMURAI ; ORCID SAMURAI
Keyword
Materials informatics, superconductors, machine learning, NLP, TDM
Date published
2023-12-31
Updated at
2024-01-05 22:12:53 +0900

Automatic_extraction_of_materials_and_properties_from_superconductors_scientific_literature-v1.pdf
Automatic Extraction of Materials and Properties from Superconductors Scientific Literature
Journal article
Creator
Foppiano Luca (author) (Search by this author)
ORCID ;
Baptista de Castro, Pedro (author) (Search by this author)
MANA, NIMS
ORCID ;
Ortiz Suarez, Pedro (author) (Search by this author)
Data and Web Science Group, University of Mannheim
ORCID ; ORCID SAMURAI ; ORCID SAMURAI ;
Ishii, Masashi (author) (Search by this author)
MaDIS, NIMS
ORCID
Keyword
tdm, machine learning, materials science, superconductors, database
Date published
2022-09-15
Updated at
2022-10-16 01:44:51 +0900

Data-driven analysis and visualization of dielectric properties curated from scientific literature.pdf
Data-driven analysis and visualization of dielectric properties curated from scientific literature
Journal article
Creator
Tomoki Murata (author) (Search by this author)
ORCID ;
Naoto Saito (author) (Search by this author)
;
Eiji Koyama (author) (Search by this author)
;
Ton Nu Thanh Phuong (author) (Search by this author)
;
Ryusuke Misawa (author) (Search by this author)
;
Satoshi Yokomizo (author) (Search by this author)
; ORCID SAMURAI ; ORCID SAMURAI ;
Sakyo Hirose (author) (Search by this author)
ORCID ; ORCID SAMURAI
Keyword
Materials data analysis, database, data curation, dielectric materials, ferroelectric, machine learning, dimensionality reduction
Date published
2025-12-31
Updated at
2025-06-12 16:30:20 +0900

An interpretable linear model bridging data-driven analysis and chemical intuition for Eu2 -phosphor emissions.pdf
An interpretable linear model bridging data-driven analysis and chemical intuition for Eu 2+ -phosphor emissions
Journal article
Creator
ORCID SAMURAI ;
Ryusei Hayasaka (author) (Search by this author)
;
Yuta Matsushima (author) (Search by this author)
ORCID ; ORCID SAMURAI ; ORCID SAMURAI ;
Naoto Hirosaki (author) (Search by this author)
Keyword
materials informatics, phosphor, europium, machine learning, interpretability, linear model, composition-based feature
Date published
2026-12-31
Updated at
2026-07-07 14:31:04 +0900

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