33 records found.
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
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
;
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
;
Naoki Sato (author) (Search by this author)Research Center for Materials Nanoarchitectonics (MANA)/Nanomaterials Field/Thermal Energy Materials Group, National Institute for Materials Science
;
Makoto Tachibana (author) (Search by this author)Research Center for Materials Nanoarchitectonics (MANA)/Nanomaterials Field/Thermal Energy Materials Group, National Institute for Materials Science
;
Satoshi Ishii (author) (Search by this author)Research Center for Materials Nanoarchitectonics (MANA)/Nanomaterials Field/Optical Nanostructure Team, National Institute for Materials Science
;
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
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)
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
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
;
;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
;
Takashi Nakanishi (author) (Search by this author)National Institute for Materials Science
- 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
Efficient autonomous material search method combining ab initio calculations, autoencoder, and multi-objective Bayesian optimization
- Journal article
- Creator
-
Yuma Iwasaki (author) (Search by this author)
;
Hwang Jaekyun (author) (Search by this author)
https://orcid.org/0000-0002-1792-0044
(unauthenticated)
;
Yuya Sakuraba (author) (Search by this author)
;
Masato Kotsugi (author) (Search by this author)
https://orcid.org/0000-0002-4841-1808
(unauthenticated)
;
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
High-throughput materials exploration system for the anomalous Hall effect using combinatorial experiments and machine learning
- Journal article
- Creator
-
Ryo Toyama (author) (Search by this author)
;
Yuma Iwasaki (author) (Search by this author)
;
Prabhanjan D. Kulkarni (author) (Search by this author)
;
Hirofumi Suto (author) (Search by this author)
;
Tomoya Nakatani (author) (Search by this author)
;
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
Prediction and optimization of epoxy adhesive strength from a small dataset through active learning
- Journal article
- Creator
-
Lambard, Guillaume (author) (Search by this author)
;
Naito, Masanobu (author) (Search by this author)
;
Samitsu, Sadaki (author) (Search by this author)
;
Pruksawan, Sirawit (author) (Search by this author)
https://orcid.org/0000-0002-9380-1872
(unauthenticated)
;
Sodeyama, Keitaro (author) (Search by this author)
- Keyword
- active learning, Machine learning, adhesive
- Date published
- 2019-12-31
- Updated at
- 2024-01-05 22:11:50 +0900
自律材料探索による磁性材料開発
- Journal article
- Creator
-
岩崎 悠真 (author) (Search by this author)National Institute for Materials Science
- Keyword
- Machine learning, Materials Informatics
- Date published
- 2025-06-10
- Updated at
- 2025-12-12 08:30:25 +0900
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
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
;
Alok Singh (author) (Search by this author)National Institute for Materials Science
;
Erina Fujita (author) (Search by this author)National Institute for Materials Science
;
Yukari Katsura (author) (Search by this author)National Institute for Materials Science
;
;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