キーワード: machine learning
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23 件のレコードが見つかりました。

Dataset
Supercon 2 Dataset
データセット
著者
ORCID
キーワード
superconductors, machine learning, dataset, tdm, materials science
刊行年月日
2022-09-10
更新時刻
2022-10-18 10:11:01 +0900
AdvMater.25_37_e10239.pdf
Artificial Intelligence‐Driven Nanoarchitectonics for Smart Targeted Drug Delivery
ジャーナル論文
著者
Hayeon Bae (author) (この著者で検索)
;
Hyunsub Ji (author) (この著者で検索)
;
Konstantin Konstantinov (author) (この著者で検索)
;
Ronald Sluyter (author) (この著者で検索)
;
Katsuhiko Ariga (author) (この著者で検索)
National Institute for Materials Science
ORCID SAMURAI ;
Yong Ho Kim (author) (この著者で検索)
;
Jung Ho Kim (author) (この著者で検索)
キーワード
artificial intelligence, in silico optimization, machine learning, nanocarrier design, nanomedicine, targeted drug delivery
刊行年月日
2025-08-07
更新時刻
2025-10-28 12:30:13 +0900
nanomaterials-3261714-Revision_T.pdf
Machine Learning as a “Catalyst” for Advancements in Carbon Nanotube Research
ジャーナル論文
著者
Guohai Chen (author) (この著者で検索)
ORCID ; ORCID SAMURAI
キーワード
machine learning, carbon nanotube, in situ TEM, growth mechanism
刊行年月日
2024-10-22
更新時刻
2024-12-24 13:58:23 +0900
Advanced Science - 2023 - Uryu - Deep Learning Enables Rapid Identification of a New Quasicrystal from Multiphase Powder.pdf
Deep Learning Enables Rapid Identification of a New Quasicrystal from Multiphase Powder Diffraction Patterns
ジャーナル論文
著者
Hirotaka Uryu (author) (この著者で検索)
;
Tsunetomo Yamada (author) (この著者で検索)
;
Koichi Kitahara (author) (この著者で検索)
;
Alok Singh (author) (この著者で検索)
National Institute for Materials Science
ORCID SAMURAI ;
Yutaka Iwasaki (author) (この著者で検索)
National Institute for Materials Science
ORCID SAMURAI ;
Kaoru Kimura (author) (この著者で検索)
National Institute for Materials Science
ORCID ;
Kanta Hiroki (author) (この著者で検索)
;
Naoki Miyao (author) (この著者で検索)
;
Asuka Ishikawa (author) (この著者で検索)
;
Ryuji Tamura (author) (この著者で検索)
;
Satoshi Ohhashi (author) (この著者で検索)
;
Chang Liu (author) (この著者で検索)
;
Ryo Yoshida (author) (この著者で検索)
キーワード
deep learning, x-ray powder diffraction, quasicrystal, phase identification, machine learning
刊行年月日
2023-11-14
更新時刻
2024-12-13 12:30:39 +0900
shrine20230330-1595-1im5f61.pdf
Unveiling the principle descriptor for predicting the electron inelastic mean free path based on a machine learning framework
ジャーナル論文
著者
Xun Liu (author) (この著者で検索)
National Institute for Materials Science
;
Zhufeng Hou (author) (この著者で検索)
;
Dabao Lu (author) (この著者で検索)
;
Bo Da (author) (この著者で検索)
National Institute for Materials Science
ORCID SAMURAI ;
Hideki Yoshikawa (author) (この著者で検索)
National Institute for Materials Science
ORCID SAMURAI ;
Shigeo Tanuma (author) (この著者で検索)
National Institute for Materials Science
ORCID SAMURAI ;
Yang Sun (author) (この著者で検索)
;
Zejun Ding (author) (この著者で検索)
キーワード
machine learning, inelastic mean free path, LASSO
刊行年月日
2019-12-31
更新時刻
2024-09-05 16:30:30 +0900
d2ma00881e.pdf
Rapid discovery of new Eu2+-activated phosphors with a designed luminescence color using a data-driven approach
ジャーナル論文
著者
Yukinori Koyama (author) (この著者で検索)
National Institute for Materials Science Research and Services Division of Materials Data and Integrated System
ORCID SAMURAI ;
Hidekazu Ikeno (author) (この著者で検索)
Osaka Metropolitan University
;
Masamichi Harada (author) (この著者で検索)
National Institute for Materials Science Research Center for Functional Materials
;
Shiro Funahashi (author) (この著者で検索)
National Institute for Materials Science Research Center for Functional Materials
;
Takashi Takeda (author) (この著者で検索)
National Institute for Materials Science Research Center for Functional Materials
ORCID SAMURAI ;
Naoto Hirosaki (author) (この著者で検索)
National Institute for Materials Science Research Center for Functional Materials
キーワード
phosphor, materials design, machine learning, luminescence, emission spectrum, Eu2+
刊行年月日
2022-11-29
更新時刻
2024-01-05 22:11:23 +0900
Advanced Science - 2025 - Si - Capacity Estimation and Knee Point Prediction Using Electrochemical Impedance Spectroscopy.pdf
Capacity Estimation and Knee Point Prediction Using Electrochemical Impedance Spectroscopy for Lithium Metal Battery Degradation via Machine Learning
ジャーナル論文
著者
Qianli Si (author) (この著者で検索)
National Institute for Materials Science
;
Shoichi Matsuda (author) (この著者で検索)
National Institute for Materials Science
ORCID SAMURAI ;
Yasunobu Ando (author) (この著者で検索)
;
Toshiyuki Momma (author) (この著者で検索)
;
Yoshitaka Tateyama (author) (この著者で検索)
National Institute for Materials Science
ORCID SAMURAI
キーワード
lithium metal battery, machine learning
刊行年月日
2025-05-05
更新時刻
2025-09-09 12:30:20 +0900
Automatic_extraction_of_materials_and_properties_from_superconductors_scientific_literature-v1.pdf
Automatic Extraction of Materials and Properties from Superconductors Scientific Literature
ジャーナル論文
著者
Foppiano Luca (author) (この著者で検索)
NIMS MaDIS
ORCID ;
Baptista de Castro, Pedro (author) (この著者で検索)
NIMS MANA
ORCID ;
Ortiz Suarez, Pedro (author) (この著者で検索)
University of Mannheim Data and Web Science Group
ORCID ; ORCID SAMURAI ; ORCID SAMURAI ;
Ishii, Masashi (author) (この著者で検索)
NIMS MaDIS
ORCID
キーワード
tdm, machine learning, materials science, superconductors, database
刊行年月日
2022-09-15
更新時刻
2022-10-16 01:44:51 +0900
manuscript.docx
Accelerating Materials Discovery of Novel Europium(II)-Activated Phosphors through Machine Learning Classification of Europium Valences
ジャーナル論文
著者
ORCID SAMURAI ; ORCID SAMURAI ; ORCID SAMURAI ; ORCID SAMURAI ; ORCID SAMURAI
キーワード
phosphor, machine learning, europium, oxidation state
刊行年月日
2024-12-10
更新時刻
2025-11-25 08:30:03 +0900
2025 ogawa APL final.pdf
Er-driven magnetic tunability in FePt thin films investigated via high-throughput experiments and microstructure analysis for future HAMR media
ジャーナル論文
著者
Daisuke Ogawa (author) (この著者で検索)
National Institute for Materials Science
ORCID SAMURAI ;
Yuma Iwasaki (author) (この著者で検索)
National Institute for Materials Science
ORCID SAMURAI ;
Jun Uzuhashi (author) (この著者で検索)
National Institute for Materials Science
ORCID SAMURAI ;
Yuta Sasaki (author) (この著者で検索)
National Institute for Materials Science
ORCID SAMURAI ;
Masato Kotsugi (author) (この著者で検索)
;
Yukiko K. Takahashi (author) (この著者で検索)
National Institute for Materials Science
ORCID SAMURAI
キーワード
heat-assisted magnetic recording, FePt, combinatorial, high throughput, machine learning, rare-earth doping
刊行年月日
2025-06-23
更新時刻
2025-07-11 08:30:48 +0900