MDR: NIMS Materials Data Repository

キーワード: Machine learning

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26 件のレコードが見つかりました。

Automated odor-blending with one-pot Bayesian optimization

ジャーナル論文
著者: Yota Fukui (author) (この著者で検索)

;

Kosuke Minami (author) (この著者で検索)

https://orcid.org/0000-0003-4145-1118

National Institute for Materials Science

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;

Kota Shiba (author) (この著者で検索)

https://orcid.org/0000-0001-7775-0318

National Institute for Materials Science

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;

Genki Yoshikawa (author) (この著者で検索)

https://orcid.org/0000-0002-9136-8964

National Institute for Materials Science

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;

Koji Tsuda (author) (この著者で検索)

https://orcid.org/0000-0002-4288-1606

National Institute for Materials Science

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;

Ryo Tamura (author) (この著者で検索)

https://orcid.org/0000-0002-0349-358X

National Institute for Materials Science

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キーワード: Machine learning, MSS, Bayesian optimization, Olfactory sensor
刊行年月日: 2024-04-16
更新時刻: 2024-06-10 12:30:19 +0900

High-throughput materials exploration system for the anomalous Hall effect using combinatorial experiments and machine learning

ジャーナル論文
著者: Ryo Toyama (author) (この著者で検索)

https://orcid.org/0000-0002-7398-5803

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;

Yuma Iwasaki (author) (この著者で検索)

https://orcid.org/0000-0002-7117-277X

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;

Prabhanjan D. Kulkarni (author) (この著者で検索)

https://orcid.org/0000-0002-4605-5256

;

Hirofumi Suto (author) (この著者で検索)

https://orcid.org/0000-0003-4387-5862

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;

Tomoya Nakatani (author) (この著者で検索)

https://orcid.org/0000-0001-9590-216X

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;

Yuya Sakuraba (author) (この著者で検索)

https://orcid.org/0000-0003-4618-9550

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キーワード: Machine learning, High-throughput, Combinatorial, Anomalous Hall effect
刊行年月日: 2025-09-03
更新時刻: 2025-12-26 13:11:05 +0900

A straightforward gradient-based approach for designing superconductors with high critical temperature: exploiting domain knowledge via adaptive constraints

ジャーナル論文
著者: Akihiro Fujii (author) (この著者で検索)

;

Anh Khoa Augustin Lu (author) (この著者で検索)

https://orcid.org/0000-0003-4702-0933

National Institute for Materials Science

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;

Koji Shimizu (author) (この著者で検索)

;

Satoshi Watanabe (author) (この著者で検索)

https://orcid.org/0000-0002-8069-6938 (unauthenticated)

National Institute for Materials Science
キーワード: Gradient-based optimization, Superconductor, Domain knowledge integration, Materials discovery, Critical temperature, Machine learning
刊行年月日: 2025-10-29
更新時刻: 2026-05-18 14:53:14 +0900

Autonomous search for materials with high Curie temperature using ab initio calculations and machine learning

ジャーナル論文
著者: Yuma Iwasaki (author) (この著者で検索)

https://orcid.org/0000-0002-7117-277X

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キーワード: Machine learning, Autonomous, Curie temperature, ab initio
刊行年月日: 2024-12-31
更新時刻: 2024-10-04 08:30:28 +0900

Revised Manuscript-ActaMater_20240327.docx

ALMLBO PIPELINE APPROACH APPLY TO MATERIAL PROCESS AND COMPOSITION OPTIMIZATION FOR ENERGY-SAVING APPLICATIONS

プレゼンテーション
著者: Cédric Bourgès (author) (この著者で検索)

https://orcid.org/0000-0001-9056-0420

National Institute for Materials Science International Center for Young Scientists

;

Guillaume Lambard (author) (この著者で検索)

https://orcid.org/0000-0003-0275-4079

National Institute for Materials Science Center for Basic Research on Materials/Data-driven Materials Research Field/Data-driven Materials Design Group

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;

Naoki Sato (author) (この著者で検索)

https://orcid.org/0000-0002-6429-0591

National Institute for Materials Science Research Center for Materials Nanoarchitectonics (MANA)/Nanomaterials Field/Thermal Energy Materials Group

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;

Makoto Tachibana (author) (この著者で検索)

https://orcid.org/0000-0002-5907-5563

National Institute for Materials Science Research Center for Materials Nanoarchitectonics (MANA)/Nanomaterials Field/Thermal Energy Materials Group

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;

Satoshi Ishii (author) (この著者で検索)

https://orcid.org/0000-0003-0731-8428

National Institute for Materials Science Research Center for Materials Nanoarchitectonics (MANA)/Nanomaterials Field/Optical Nanostructure Team

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;

Takao Mori (author) (この著者で検索)

https://orcid.org/0000-0003-2682-1846

National Institute for Materials Science Research Center for Materials Nanoarchitectonics (MANA)/Nanomaterials Field/Thermal Energy Materials Group

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キーワード: Kesterite, Machine learning, Process, Thermoelectric, Ceramic
刊行年月日
更新時刻: 2024-10-30 16:30:23 +0900