11 records found. Displaying records 1 to 10.
ALMLBO PIPELINE APPROACH APPLY TO MATERIAL PROCESS AND COMPOSITION OPTIMIZATION FOR ENERGY-SAVING APPLICATIONS
- Conference presentation
- Creator
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Cédric Bourgès (author) (Search by this author)International Center for Young Scientists, National Institute for Materials Science
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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
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Naoki Sato (author) (Search by this author)Research Center for Materials Nanoarchitectonics (MANA)/Nanomaterials Field/Thermal Energy Materials Group, National Institute for Materials Science
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Makoto Tachibana (author) (Search by this author)Research Center for Materials Nanoarchitectonics (MANA)/Nanomaterials Field/Thermal Energy Materials Group, National Institute for Materials Science
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Satoshi Ishii (author) (Search by this author)Research Center for Materials Nanoarchitectonics (MANA)/Nanomaterials Field/Optical Nanostructure Team, National Institute for Materials Science
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Takao Mori (author) (Search by this author)Research Center for Materials Nanoarchitectonics (MANA)/Nanomaterials Field/Thermal Energy Materials Group, National Institute for Materials Science
- Keyword
- Kesterite, Machine learning, Process, Thermoelectric, Ceramic
- Date published
- Updated at
- 2024-10-30 16:30:23 +0900
Estimation of valence state and growth rate using principal component analysis of plasma emission in reactive sputtering deposition
- Journal article
- Creator
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;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
Efficient autonomous material search method combining ab initio calculations, autoencoder, and multi-objective Bayesian optimization
- Journal article
- Creator
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Yuma Iwasaki (author) (Search by this author)
;
Hwang Jaekyun (author) (Search by this author)
https://orcid.org/0000-0002-1792-0044
(unauthenticated)
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Yuya Sakuraba (author) (Search by this author)
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Masato Kotsugi (author) (Search by this author)
https://orcid.org/0000-0002-4841-1808
(unauthenticated)
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Yasuhiko Igarashi (author) (Search by this author)
https://orcid.org/0000-0003-1042-6657
(unauthenticated)
- Keyword
- autonomous materials search, ab-initio, Machine learning
- Date published
- 2022-12-31
- Updated at
- 2024-01-05 22:14:05 +0900
Automated synthesis and fragment descriptor-based machine learning for retention time prediction in supercritical fluid chromatography
- Journal article
- Creator
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;Sitanan Sartyoungkul (author) (Search by this author);Balasubramaniyan Sakthivel (author) (Search by this author)Pavel Sidorov (author) (Search by this author)
https://orcid.org/0000-0001-6462-702X
(unauthenticated)
;
Yuuya Nagata (author) (Search by this author)
https://orcid.org/0000-0001-5926-5845
(unauthenticated)
- 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
High-throughput materials exploration system for the anomalous Hall effect using combinatorial experiments and machine learning
- Journal article
- Creator
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Ryo Toyama (author) (Search by this author)
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Yuma Iwasaki (author) (Search by this author)
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Prabhanjan D. Kulkarni (author) (Search by this author)
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Hirofumi Suto (author) (Search by this author)
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Tomoya Nakatani (author) (Search by this author)
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Yuya Sakuraba (author) (Search by this author)
- Keyword
- Machine learning, High-throughput, Combinatorial, Anomalous Hall effect
- Date published
- 2025-09-03
- Updated at
- 2025-12-26 13:11:05 +0900
In Situ Forming Supramolecular Nanofiber Hydrogel as a Biodegradable Liquid Embolic Agent for Postembolization Tissue Remodeling
- Journal article
- Creator
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Akihiro Nishiguchi (author) (Search by this author)National Institute for Materials Science
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;Miho Ohta (author) (Search by this author)Debabrata Palai (author) (Search by this author)National Institute for Materials Science
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Shima Ito (author) (Search by this author)National Institute for Materials Science
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;Kensaku Mori (author) (Search by this author);Ryotaro Akagi (author) (Search by this author)Christophe Bajan (author) (Search by this author)National Institute for Materials Science
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Guillaume Lambard (author) (Search by this author)National Institute for Materials Science
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Keitaro Sodeyama (author) (Search by this author)National Institute for Materials Science
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Tetsushi Taguchi (author) (Search by this author)National Institute for Materials Science
- Keyword
- Hydrogel, Embolic agent, Machine learning
- Date published
- 2024-11-07
- Updated at
- 2025-02-26 16:30:29 +0900
From Random Networks to AI-Driven Glass Design
- Conference presentation
- Creator
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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
Quasicrystals predicted and discovered by machine learning
- Journal article
- Creator
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;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
;
Alok Singh (author) (Search by this author)National Institute for Materials Science
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Erina Fujita (author) (Search by this author)National Institute for Materials Science
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Yukari Katsura (author) (Search by this author)National Institute for Materials Science
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;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
;
Ryo Yoshida (author) (Search by this author)
https://orcid.org/0000-0001-8092-0162
(unauthenticated)
- Keyword
- Crystal forms, Crystal phenomena, Crystal structure, Alloys, Machine learning
- Date published
- 2023-09-25
- Updated at
- 2024-11-21 16:36:03 +0900
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
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Lambard, Guillaume (author) (Search by this author)
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Sasaki, Taisuke (author) (Search by this author)
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Sodeyama, Keitaro (author) (Search by this author)
;
Ohkubo, Tadakatsu (author) (Search by this author)
;
Hono, Kazuhiro (author) (Search by this author)
- 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
Machine Learning Assisted Optimization of SmFe12-based Alloys
- Conference poster
- Creator
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BOLYACHKIN Anton (author) (Search by this author)International Center for Young Scientists, National Institute for Materials Science
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SUBAGJA Toni (author) (Search by this author)Research Center for Magnetic and Spintronic Materials/Green Magnetic Materials Group, National Institute for Materials Science
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;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 ScienceASHOK KRISHNASWAMY Srinithi (author) (Search by this author)Research Center for Magnetic and Spintronic Materials/Green Magnetic Materials Group, National Institute for Materials Science
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ABE Taichi (author) (Search by this author)Research Center for Structural Materials/Materials Evaluation Field/Structural Thermodynamics Group, National Institute for Materials Science
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TANG Xin (author) (Search by this author)Research Center for Magnetic and Spintronic Materials/Green Magnetic Materials Group, National Institute for Materials Science
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;TOZMAN KARANIKOLAS Pelin (author) (Search by this author)Global Networking Division/International Center for Young Scientists, National Institute for Materials ScienceKULESH Nikita (author) (Search by this author)Research Center for Magnetic and Spintronic Materials/Green Magnetic Materials Group, National Institute for Materials Science
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SEPEHRI AMIN Hossein (author) (Search by this author)Research Center for Magnetic and Spintronic Materials/Green Magnetic Materials Group, National Institute for Materials Science
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OHKUBO Tadakatsu (author) (Search by this author)Research Center for Magnetic and Spintronic Materials, National Institute for Materials Science
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HONO Kazuhiro (author) (Search by this author)National Institute for Materials Science
- Keyword
- Machine learning, Hard magnetic materials, SmFe12-based alloys
- Date published
- Updated at
- 2024-10-17 08:30:37 +0900