キーワード: machine learning
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28 件のレコードが見つかりました。 1件目から10件目まで表示します。

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74_Roadmap_J Phys Energy 2023_Roadmap on molecular modelling of electrochemical energy materials.pdf
2023 Roadmap on molecular modelling of electrochemical energy materials
ジャーナル論文
著者
Chao Zhang (author) (この著者で検索)
;
Jun Cheng (author) (この著者で検索)
;
Yiming Chen (author) (この著者で検索)
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Maria K Y Chan (author) (この著者で検索)
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Qiong Cai (author) (この著者で検索)
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Rodrigo P Carvalho (author) (この著者で検索)
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Cleber F N Marchiori (author) (この著者で検索)
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Daniel Brandell (author) (この著者で検索)
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C Moyses Araujo (author) (この著者で検索)
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Ming Chen (author) (この著者で検索)
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Xiangyu Ji (author) (この著者で検索)
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Guang Feng (author) (この著者で検索)
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Kateryna Goloviznina (author) (この著者で検索)
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Alessandra Serva (author) (この著者で検索)
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Mathieu Salanne (author) (この著者で検索)
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Toshihiko Mandai (author) (この著者で検索)
National Institute for Materials Science (NIMS)
ORCID SAMURAI ;
Tomooki Hosaka (author) (この著者で検索)
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Mirna Alhanash (author) (この著者で検索)
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Patrik Johansson (author) (この著者で検索)
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Yun-Ze Qiu (author) (この著者で検索)
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Hai Xiao (author) (この著者で検索)
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Michael Eikerling (author) (この著者で検索)
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Ryosuke Jinnouchi (author) (この著者で検索)
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Marko M Melander (author) (この著者で検索)
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Georg Kastlunger (author) (この著者で検索)
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Assil Bouzid (author) (この著者で検索)
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Alfredo Pasquarello (author) (この著者で検索)
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Seung-Jae Shin (author) (この著者で検索)
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Minho M Kim (author) (この著者で検索)
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Hyungjun Kim (author) (この著者で検索)
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Kathleen Schwarz (author) (この著者で検索)
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Ravishankar Sundararaman (author) (この著者で検索)
キーワード
electrochemical interfaces, density-functional theory, molecular dynamics simulation, electrochemical energy storage, machine learning, electrocatalysis
刊行年月日
2023-10-01
更新時刻
2024-03-22 00:53:39 +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
Development of a method to evaluate strain in weld solidification using in-situ observations with high-brightness synchrotron X-rays.pdf
Development of a method to evaluate strain in weld solidification using in-situ observations with high-brightness synchrotron X-rays
ジャーナル論文
著者
ORCID SAMURAI ; ORCID SAMURAI ; ORCID SAMURAI ; ORCID SAMURAI ;
Takayuki Yamashita (author) (この著者で検索)
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Yasuhiro Aoki (author) (この著者で検索)
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Hidetoshi Fujii (author) (この著者で検索)
キーワード
in-situ observation, synchrotron X-ray, welding technology, optical flow, machine learning, Strain evaluation method;
刊行年月日
2024-12-31
更新時刻
2024-11-13 12:30:30 +0900
Manuscript.pdf
Graph Network-Based Simulation of Multicellular Dynamics Driven by Concentrated Polymer Brush-Modified Cellulose Nanofibers
ジャーナル論文
著者
Chiaki Yoshikawa (author) (この著者で検索)
National Institute for Materials Science
ORCID SAMURAI ;
Duc Anh Nguyen (author) (この著者で検索)
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Tadashi Nakaji-Hirabayashi (author) (この著者で検索)
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Ichigaku Takigawa (author) (この著者で検索)
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Hiroshi Mamitsuka (author) (この著者で検索)
キーワード
cellulose nanofiber, concentrated polymer brush, hMSC, self-assembly, machine learning
刊行年月日
2024-04-08
更新時刻
2024-08-27 08:30:31 +0900
41524_2019_203_MOESM1_ESM.avi
Machine-learning-assisted discovery of polymers with high thermal conductivity using a molecular design algorithm
ジャーナル論文
著者
Stephen Wu (author) (この著者で検索)
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Yukiko Kondo (author) (この著者で検索)
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Masa-aki Kakimoto (author) (この著者で検索)
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Bin Yang (author) (この著者で検索)
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Hironao Yamada (author) (この著者で検索)
; ORCID SAMURAI ;
Guillaume Lambard (author) (この著者で検索)
National Institute for Materials Science
ORCID SAMURAI ;
Kenta Hongo (author) (この著者で検索)
; ORCID SAMURAI ;
Junichiro Shiomi (author) (この著者で検索)
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Christoph Schick (author) (この著者で検索)
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Junko Morikawa (author) (この著者で検索)
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Ryo Yoshida (author) (この著者で検索)
キーワード
machine learning, polymer, thermal conductivity, molecular design
刊行年月日
2019-06-21
更新時刻
2024-11-21 16:31:23 +0900
Pitfalls in Artificial Intelligence_revised_clean_v2.docx
Pitfalls in Artificial Intelligence Powered Discovery Due to Electrocatalyst Evaluation Methodologies
ジャーナル論文
著者
Abraham Castro Garcia (author) (この著者で検索)
;
Ken Sakaushi (author) (この著者で検索)
National Institute for Materials Science
ORCID SAMURAI
キーワード
machine learning
刊行年月日
2025-09-04
更新時刻
2026-04-30 12:01:11 +0900
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
Development of an AI-based acoustic disturbance-detection method for robotic arc welding processes.pdf
Development of an AI-based acoustic disturbance-detection method for robotic arc welding processes
ジャーナル論文
著者
Houichi Kitano (author) (この著者で検索)
National Institute for Materials Science
ORCID SAMURAI ;
Masaki Kobayashi (author) (この著者で検索)
National Institute for Materials Science
ORCID SAMURAI ;
Masahiko Demura (author) (この著者で検索)
National Institute for Materials Science
ORCID SAMURAI
キーワード
Acoustic sensing, in-process monitoring, gas metal arc welding, disturbance detection, machine learning, explainable AI, smart manufacturing
刊行年月日
2026-12-31
更新時刻
2026-06-25 09:51:40 +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
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Masamichi Harada (author) (この著者で検索)
National Institute for Materials Science Research Center for Functional Materials
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Shiro Funahashi (author) (この著者で検索)
National Institute for Materials Science Research Center for Functional Materials
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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 - 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)
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Tsunetomo Yamada (author) (この著者で検索)
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Koichi Kitahara (author) (この著者で検索)
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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)
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Ryuji Tamura (author) (この著者で検索)
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Satoshi Ohhashi (author) (この著者で検索)
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Chang Liu (author) (この著者で検索)
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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
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