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- In Copyright (15)
- Creative Commons BY-NC Attribution-NonCommercial 4.0 International (5)
- Creative Commons BY-NC-ND Attribution-NonCommercial-NoDerivs 4.0 International (1)
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49 records found. Displaying records 1 to 10.
Supercon 2 Dataset
- Dataset
- Creator
-
Foppiano, Luca (author) (Search by this author)
- Keyword
- superconductors, machine learning, dataset, tdm, materials science
- Date published
- 2022-09-10
- Updated at
- 2022-10-18 10:11:01 +0900
An interpretable linear model bridging data-driven analysis and chemical intuition for Eu 2+ -phosphor emissions
- Journal article
- Creator
-
Yukinori Koyama (author) (Search by this author)
;
;Ryusei Hayasaka (author) (Search by this author)Yuta Matsushima (author) (Search by this author)
https://orcid.org/0000-0001-5826-1551
(unauthenticated)
;
Takayuki Nakanishi (author) (Search by this author)
;
Takashi Takeda (author) (Search by this author)
;
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
Multi-Objective Optimization of Adhesive Joint Strength and Elastic Modulus of Adhesive Epoxy with Active Learning
- Journal article
- Creator
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Paripat Kraisornkachit (author) (Search by this author)
;
Masanobu Naito (author) (Search by this author)
;
Chao Kang (author) (Search by this author)
https://orcid.org/0000-0002-9567-0976
(unauthenticated)
;
Chiaki Sato (author) (Search by this author)
- Keyword
- experimental testing, multi-objective optimization, epoxy, adhesive, elastic modulus, machine learning, active learning
- Date published
- 2024-06-12
- Updated at
- 2025-01-07 08:30:26 +0900
Accelerating Materials Discovery of Novel Europium(II)-Activated Phosphors through Machine Learning Classification of Europium Valences
- Journal article
- Creator
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Yukinori Koyama (author) (Search by this author)
;
Yukako Kohriki (author) (Search by this author)
;
Masamichi Harada (author) (Search by this author)
;
Naoto Hirosaki (author) (Search by this author)
;
Takashi Takeda (author) (Search by this author)
- Keyword
- phosphor, machine learning, europium, oxidation state
- Date published
- 2024-12-10
- Updated at
- 2025-11-25 08:30:03 +0900
Machine-Learning-Driven Discovery of Mn4+-Doped Red-Emitting Fluorides with Short Excited-State Lifetime and High Efficiency for Mini Light-Emitting Diode Displays
- Journal article
- Creator
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Hong Ming (author) (Search by this author)
https://orcid.org/0000-0003-0118-1897
(unauthenticated)
;
;Yayun Zhou (author) (Search by this author)Maxim S. Molokeev (author) (Search by this author)
https://orcid.org/0000-0002-8297-0945
(unauthenticated)
;
;Chuang Zhang (author) (Search by this author);Lin Huang (author) (Search by this author);Yuanjing Wang (author) (Search by this author)Hong-Tao Sun (author) (Search by this author)
;
Enhai Song (author) (Search by this author)
https://orcid.org/0000-0003-1666-0532
(unauthenticated)
;
Qinyuan Zhang (author) (Search by this author)
https://orcid.org/0000-0001-6544-4735
(unauthenticated)
- Keyword
- luminescent materials, machine learning
- Date published
- 2024-05-06
- Updated at
- 2025-04-03 08:30:20 +0900
Enhancing oxygen reduction reaction mass activity in polymer electrolyte fuel cells via molecular machine learning
- Journal article
- Creator
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Ekaterina Gracheva (author) (Search by this author)
;
;Shin-ichi Yamazaki (author) (Search by this author)Guillaume Lambard (author) (Search by this author)
;
Keitaro Sodeyama (author) (Search by this author)
;
;Tsutomu Ioroi (author) (Search by this author)Masafumi Asahi (author) (Search by this author)
https://orcid.org/0000-0002-2122-3073
(unauthenticated)
- Keyword
- materials science, machine learning, chemoinformatics, polymer electrolyte fuel cell (PEFC), oxygen reduction reaction, active learning
- Date published
- 2026-08-01
- Updated at
- 2026-08-26 16:18:22 +0900
Dielectric tensor of perovskite oxides at finite temperature using equivariant graph neural network potentials
- Journal article
- Creator
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;Alex Kutana (author) (Search by this author)Nagoya University;Koki Yoshimochi (author) (Search by this author)Ryoji Asahi (author) (Search by this author)
- Keyword
- Graph neural network, machine learning, dielectrics, perovskite oxides, phase transitions
- Date published
- 2025-12-31
- Updated at
- 2025-07-18 10:24:15 +0900
Non-negative matrix factorization analysis of spatially-resolved photoemission spectra for epitaxially grown graphene on SiC
- Journal article
- Creator
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;Masaki Imamura (author) (Search by this author)Synchrotron Light Application Center, Saga UniversityKazutoshi Takahashi (author) (Search by this author)
- Keyword
- Photoemission spectroscopy, non-negative matrix factorization, graphene, machine learning, data-driven analysis
- Date published
- 2026-06-19
- Updated at
- 2026-06-24 15:38:41 +0900
Capacity Estimation and Knee Point Prediction Using Electrochemical Impedance Spectroscopy for Lithium Metal Battery Degradation via Machine Learning
- Journal article
- Creator
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;Qianli Si (author) (Search by this author)National Institute for Materials ScienceShoichi Matsuda (author) (Search by this author)National Institute for Materials Science
;
;Yasunobu Ando (author) (Search by this author);Toshiyuki Momma (author) (Search by this author)Yoshitaka Tateyama (author) (Search by this author)National Institute for Materials Science
- Keyword
- lithium metal battery, machine learning
- Date published
- 2025-05-05
- Updated at
- 2025-09-09 12:30:20 +0900
Deep Learning Enables Rapid Identification of a New Quasicrystal from Multiphase Powder Diffraction Patterns
- Journal article
- Creator
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;Hirotaka Uryu (author) (Search by this author);Tsunetomo Yamada (author) (Search by this author);Koichi Kitahara (author) (Search by this author)Alok Singh (author) (Search by this author)National Institute for Materials Science
;
Yutaka Iwasaki (author) (Search by this author)National Institute for Materials Science
;
Kaoru Kimura (author) (Search by this author)National Institute for Materials Science
;
;Kanta Hiroki (author) (Search by this author);Naoki Miyao (author) (Search by this author);Asuka Ishikawa (author) (Search by this author);Ryuji Tamura (author) (Search by this author);Satoshi Ohhashi (author) (Search by this author);Chang Liu (author) (Search by this author)Ryo Yoshida (author) (Search by this author)
- Keyword
- deep learning, x-ray powder diffraction, quasicrystal, phase identification, machine learning
- Date published
- 2023-11-14
- Updated at
- 2024-12-13 12:30:39 +0900