ファイル種別: application/pdf キーワード: machine learning
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43 件のレコードが見つかりました。

materials-17-02866.pdf
Multi-Objective Optimization of Adhesive Joint Strength and Elastic Modulus of Adhesive Epoxy with Active Learning
論文
著者
Paripat Kraisornkachit SAMURAI ORCID ; Masanobu Naito SAMURAI ORCID ; Chao Kang ORCID ; Chiaki Sato
キーワード
experimental testing, multi-objective optimization, epoxy, adhesive, elastic modulus, machine learning, active learning
刊行年月日
2024-06-12
更新時刻
2025-01-07 08:30:26 +0900
Semi-automatic staging area for high-quality structured data extraction from scientific literature.pdf
Semi-automatic staging area for high-quality structured data extraction from scientific literature
論文
著者
Luca Foppiano ORCID ; Tomoya Mato SAMURAI ORCID ; Kensei Terashima SAMURAI ORCID ; Pedro Ortiz Suarez ; Taku Tou ; Chikako Sakai ORCID ; Wei-Sheng Wang ORCID ; Toshiyuki Amagasa ; Yoshihiko Takano SAMURAI ORCID ; Masashi Ishii SAMURAI ORCID
キーワード
materials informatics, superconductors, machine learning, database, tdm
刊行年月日
2023-12-31
更新時刻
2024-07-11 16:30:24 +0900
STAMMethods4(2024)2326305.pdf
Alloys innovation through machine learning: a statistical literature review
論文
著者
Alireza Valizadeh ; Ryoji Sahara SAMURAI ORCID ; Maaouia Souissi
キーワード
Alloy development, machine learning, data-driven research, materials informatics, Materials Genome Initiative, Materials databases
刊行年月日
2024-12-31
更新時刻
2024-06-25 12:30:16 +0900
Estimation the S-N Curve by Machine Learning Random Forest Method_Mater. Trans. 65(2024)428-433.pdf
Estimating the S-N Curve by Machine Learning Random Forest Method
論文
著者
Nobuo Nagashima SAMURAI ORCID ; Masao Hayakawa SAMURAI ORCID ; Hiroyuki Masuda SAMURAI ORCID ; Kotobu Nagai
キーワード
fatigue, high-cycle fatigue, data-sheet, machine learning, random forest method
刊行年月日
2024-04-01
更新時刻
2024-12-27 16:30:58 +0900
74_Roadmap_J Phys Energy 2023_Roadmap on molecular modelling of electrochemical energy materials.pdf
2023 Roadmap on molecular modelling of electrochemical energy materials
論文
著者
Chao Zhang ; Jun Cheng ; Yiming Chen ; Maria K Y Chan ; Qiong Cai ; Rodrigo P Carvalho ; Cleber F N Marchiori ; Daniel Brandell ; C Moyses Araujo ; Ming Chen ; Xiangyu Ji ; Guang Feng ; Kateryna Goloviznina ; Alessandra Serva ; Mathieu Salanne ; Toshihiko Mandai SAMURAI ORCID ; Tomooki Hosaka ; Mirna Alhanash ; Patrik Johansson ; Yun-Ze Qiu ; Hai Xiao ; Michael Eikerling ; Ryosuke Jinnouchi ; Marko M Melander ; Georg Kastlunger ; Assil Bouzid ; Alfredo Pasquarello ; Seung-Jae Shin ; Minho M Kim ; Hyungjun Kim ; Kathleen Schwarz ; Ravishankar Sundararaman
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
esi_clean.pdf
Multiobjective Solid Electrolyte Design of Tetragonal and Cubic Inverse-Perovskites for All-Solid-State Lithium-Ion Batteries by High-Throughput Density Functional Theory Calculations and AI-Driven Methods
論文
著者
JALEM Randy SAMURAI ORCID ; TATEYAMA Yoshitaka SAMURAI ORCID ; TAKADA Kazunori SAMURAI ORCID ; JANG Seonghoon
キーワード
all solid state batteries, solid electrolytes, density functional theory, materials informatics, machine learning, novel materials search
刊行年月日
2023-09-07
更新時刻
2024-08-28 08:30:15 +0900
Automatic extraction of materials and properties from superconductors scientific literature.pdf
Automatic extraction of materials and properties from superconductors scientific literature
ジャーナル
著者
Luca Foppiano ORCID ; Pedro Baptista Castro ORCID ; Pedro Ortiz Suarez ORCID ; Kensei Terashima SAMURAI ORCID ; Yoshihiko Takano SAMURAI ORCID ; Masashi Ishii SAMURAI ORCID
キーワード
Materials informatics, superconductors, machine learning, NLP, TDM
刊行年月日
2023-12-31
更新時刻
2024-01-05 22:12:53 +0900
shrine20230330-1595-1im5f61.pdf
Unveiling the principle descriptor for predicting the electron inelastic mean free path based on a machine learning framework
論文
著者
Xun Liu ; Zhufeng Hou ; Dabao Lu ; Bo Da SAMURAI ORCID ; Hideki Yoshikawa SAMURAI ORCID ; Shigeo Tanuma SAMURAI ORCID ; Yang Sun ; Zejun Ding
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
STAM.pdf
Essential structural and experimental descriptors for bulk and grain boundary conductivities of Li solid electrolytes
論文
著者
Yen-Ju Wu SAMURAI ORCID ; Takehiro Tanaka ; Tomoyuki Komori ; Mikiya Fujii ; Hiroshi Mizuno ; Satoshi Itoh ORCID ; Tadanobu Takada ; Erina Fujita SAMURAI ORCID ; Yibin Xu SAMURAI ORCID
キーワード
Ionic conductivity, machine learning, grain boundary, ionic conductor, Li battery, grain size, descriptor
刊行年月日
2020-01-31
更新時刻
2024-01-05 22:11:22 +0900
d2ma00881e.pdf
Rapid discovery of new Eu2+-activated phosphors with a designed luminescence color using a data-driven approach
論文
著者
Yukinori Koyama SAMURAI ORCID ; Hidekazu Ikeno ; Masamichi Harada ; Shiro Funahashi ; Takashi Takeda SAMURAI ORCID ; Naoto Hirosaki
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