Keyword: Machine learning
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Revised Manuscript-ActaMater_20240327.docx
ALMLBO PIPELINE APPROACH APPLY TO MATERIAL PROCESS AND COMPOSITION OPTIMIZATION FOR ENERGY-SAVING APPLICATIONS
Conference presentation
Creator
Cédric Bourgès (author) (Search by this author)
International Center for Young Scientists, National Institute for Materials Science
ORCID ;
Guillaume Lambard (author) (Search by this author)
Center for Basic Research on Materials/Data-driven Materials Research Field/Data-driven Materials Design Group, National Institute for Materials Science
ORCID SAMURAI ;
Naoki Sato (author) (Search by this author)
Research Center for Materials Nanoarchitectonics (MANA)/Nanomaterials Field/Thermal Energy Materials Group, National Institute for Materials Science
ORCID SAMURAI ;
Makoto Tachibana (author) (Search by this author)
Research Center for Materials Nanoarchitectonics (MANA)/Nanomaterials Field/Thermal Energy Materials Group, National Institute for Materials Science
ORCID SAMURAI ;
Satoshi Ishii (author) (Search by this author)
Research Center for Materials Nanoarchitectonics (MANA)/Nanomaterials Field/Optical Nanostructure Team, National Institute for Materials Science
ORCID SAMURAI ;
Takao Mori (author) (Search by this author)
Research Center for Materials Nanoarchitectonics (MANA)/Nanomaterials Field/Thermal Energy Materials Group, National Institute for Materials Science
ORCID SAMURAI
Keyword
Kesterite, Machine learning, Process, Thermoelectric, Ceramic
Date published
Updated at
2024-10-30 16:30:23 +0900
Machine learning prediction of the mechanical properties of injection-molded polypropylene through X-ray diffraction analysis.pdf
Machine learning prediction of the mechanical properties of injection-molded polypropylene through X-ray diffraction analysis
Journal article
Creator
Ryo Tamura (author) (Search by this author)
National Institute for Materials Science
ORCID SAMURAI ;
Kenji Nagata (author) (Search by this author)
;
Keitaro Sodeyama (author) (Search by this author)
;
Kensaku Nakamura (author) (Search by this author)
;
Toshiki Tokuhira (author) (Search by this author)
;
Satoshi Shibata (author) (Search by this author)
;
Kazuki Hammura (author) (Search by this author)
;
Hiroki Sugisawa (author) (Search by this author)
;
Masaya Kawamura (author) (Search by this author)
;
Teruki Tsurimoto (author) (Search by this author)
;
Masanobu Naito (author) (Search by this author)
;
Masahiko Demura (author) (Search by this author)
National Institute for Materials Science
ORCID SAMURAI ;
Takashi Nakanishi (author) (Search by this author)
National Institute for Materials Science
ORCID SAMURAI
Keyword
Polypropylene, X-ray diffraction, Bayesian spectral deconvolution, Ising machine, Machine learning
Date published
2024-12-31
Updated at
2024-08-30 16:31:01 +0900
Minami_20250723final_w_highlight.pdf
Estimation of valence state and growth rate using principal component analysis of plasma emission in reactive sputtering deposition
Journal article
Creator
Rintaro Minami (author) (Search by this author)
a Department of Applied Physics, University of Tsukuba
;
Eiji Kita (author) (Search by this author)
;
Chiharu Mitsumata (author) (Search by this author)
;
Hideto Yanagihara (author) (Search by this author)
Keyword
Machine learning, principal component analysis (PCA), reactive magnetron sputtering, plasma emission spectrum, Mössbauer spectroscopy
Date published
2025-12-31
Updated at
2025-09-10 16:30:38 +0900
D5DD00437C.pdf
Automated synthesis and fragment descriptor-based machine learning for retention time prediction in supercritical fluid chromatography
Journal article
Creator
Sitanan Sartyoungkul (author) (Search by this author)
;
Balasubramaniyan Sakthivel (author) (Search by this author)
;
Pavel Sidorov (author) (Search by this author)
ORCID ;
Yuuya Nagata (author) (Search by this author)
ORCID
Keyword
Automated synthesis, Fragment descriptor, Machine learning, Retention time prediction, Supercritical fluid chromatography
Date published
2025-11-26
Updated at
2025-12-24 15:05:55 +0900
s41524-025-01757-5 (2).pdf
High-throughput materials exploration system for the anomalous Hall effect using combinatorial experiments and machine learning
Journal article
Creator
ORCID SAMURAI ; ORCID SAMURAI ; ORCID ; ORCID SAMURAI ; ORCID SAMURAI ; ORCID SAMURAI
Keyword
Machine learning, High-throughput, Combinatorial, Anomalous Hall effect
Date published
2025-09-03
Updated at
2025-12-26 13:11:05 +0900
Prediction_and_optimization_of_epoxy_adhesive_strength_from_a_small_dataset_through_active_learning.pdf
Prediction and optimization of epoxy adhesive strength from a small dataset through active learning
Journal article
Creator
ORCID SAMURAI ; ORCID SAMURAI ; ORCID SAMURAI ;
Pruksawan, Sirawit (author) (Search by this author)
ORCID ; ORCID SAMURAI
Keyword
active learning, Machine learning, adhesive
Date published
2019-12-31
Updated at
2024-01-05 22:11:50 +0900
Abstracts_Krishnan.pdf
From Random Networks to AI-Driven Glass Design
Conference presentation
Creator
N. M. Anoop Krishnan (author) (Search by this author)
Department of Civil Engineering, Indian Institute of Technology Delhi
Keyword
Machine learning, AI-Driven Glass Design
Date published
Updated at
2025-09-25 16:30:42 +0900
PhysRevMaterials.7.093805.pdf
Quasicrystals predicted and discovered by machine learning
Journal article
Creator
Chang Liu (author) (Search by this author)
;
Koichi Kitahara (author) (Search by this author)
;
Asuka Ishikawa (author) (Search by this author)
;
Takanobu Hiroto (author) (Search by this author)
National Institute for Materials Science
ORCID SAMURAI ;
Alok Singh (author) (Search by this author)
National Institute for Materials Science
ORCID SAMURAI ;
Erina Fujita (author) (Search by this author)
National Institute for Materials Science
ORCID SAMURAI ;
Yukari Katsura (author) (Search by this author)
National Institute for Materials Science
ORCID SAMURAI ;
Yuki Inada (author) (Search by this author)
;
Ryuji Tamura (author) (Search by this author)
;
Kaoru Kimura (author) (Search by this author)
National Institute for Materials Science
ORCID ;
Ryo Yoshida (author) (Search by this author)
ORCID
Keyword
Crystal forms, Crystal phenomena, Crystal structure, Alloys, Machine learning
Date published
2023-09-25
Updated at
2024-11-21 16:36:03 +0900
DataSummary_Extrusion_Manuscript_20210728.xlsx
Process parameters and magnetic properties (coercivity, remanence, squareness, maximum energy product) of data-driven fabrication of Nd-Fe-B anisotropic magnets by direct hot extrusion.
Dataset
Creator
ORCID SAMURAI ; ORCID SAMURAI ; ORCID SAMURAI ; ORCID SAMURAI ; ORCID SAMURAI
Keyword
Maximum energy product, Coercivity, Squareness, Machine learning, Remanence, Process, Bayesian Optimization, Hot extrusion, Active learning, Nd-Fe-B magnet
Date published
2021-10-11
Updated at
2022-10-03 02:01:08 +0900
abstract.docx
Machine Learning Assisted Optimization of SmFe12-based Alloys
Conference poster
Creator
BOLYACHKIN Anton (author) (Search by this author)
International Center for Young Scientists, National Institute for Materials Science
ORCID SAMURAI ;
SUBAGJA Toni (author) (Search by this author)
Research Center for Magnetic and Spintronic Materials/Green Magnetic Materials Group, National Institute for Materials Science
ORCID SAMURAI ;
LI Jiangnan (author) (Search by this author)
Research Center for Magnetic and Spintronic Materials/Magnetic Materials Analysis Group, National Institute for Materials Science
;
ZHANG Jiasheng (author) (Search by this author)
Research Center for Magnetic and Spintronic Materials/Green Magnetic Materials Group, National Institute for Materials Science
;
ASHOK KRISHNASWAMY Srinithi (author) (Search by this author)
Research Center for Magnetic and Spintronic Materials/Green Magnetic Materials Group, National Institute for Materials Science
ORCID ;
ABE Taichi (author) (Search by this author)
Research Center for Structural Materials/Materials Evaluation Field/Structural Thermodynamics Group, National Institute for Materials Science
ORCID SAMURAI ;
TANG Xin (author) (Search by this author)
Research Center for Magnetic and Spintronic Materials/Green Magnetic Materials Group, National Institute for Materials Science
ORCID SAMURAI ;
TOZMAN KARANIKOLAS Pelin (author) (Search by this author)
Global Networking Division/International Center for Young Scientists, National Institute for Materials Science
;
KULESH Nikita (author) (Search by this author)
Research Center for Magnetic and Spintronic Materials/Green Magnetic Materials Group, National Institute for Materials Science
ORCID SAMURAI ;
SEPEHRI AMIN Hossein (author) (Search by this author)
Research Center for Magnetic and Spintronic Materials/Green Magnetic Materials Group, National Institute for Materials Science
ORCID SAMURAI ;
OHKUBO Tadakatsu (author) (Search by this author)
Research Center for Magnetic and Spintronic Materials, National Institute for Materials Science
ORCID SAMURAI ;
HONO Kazuhiro (author) (Search by this author)
National Institute for Materials Science
ORCID SAMURAI
Keyword
Machine learning, Hard magnetic materials, SmFe12-based alloys
Date published
Updated at
2024-10-17 08:30:37 +0900
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