MDR: NIMS Materials Data Repository

30 件のレコードが見つかりました。

データセット
著者: Asahiko Matsuda ; Masahiko Demura ; Masayoshi Yamazaki ; Takuya Kadohira ; Toshihiro Ashino ; Yoshiyuki Furuya ; Kota Sawada ; Nobutaka Nishikawa
キーワード: metallic materials, structural materials, database, data format, data model, creep, fatigue
刊行年月日
更新時刻: 2025-04-22 11:16:21 +0900

プロシーディングス
著者: Aiwei Zhao ; Dines Chandra Santra ; Kenji Nagata ; Junya Sakurai ; Masahiko Demura ; Masayoshi Higuchi
キーワード: electrochromic, coloration efficiency, data-science
刊行年月日: [2024年]
更新時刻: 2024-12-25 17:06:21 +0900

論文
著者: Dmitry S. Bulgarevich ; Moe Sakaguchi ; Nobuyasu Nita ; Masahiko Demura
キーワード: metallurgy, image analysis, microstructures, optical microscopy, grain recognition, cBN sintered compacts
刊行年月日: 2024-12-31
更新時刻: 2024-12-17 16:30:54 +0900

論文
著者: Simon P. Stier ; Christoph Kreisbeck ; Holger Ihssen ; Matthias Albert Popp ; Jens Hauch ; Kourosh Malek ; Marine Reynaud ; T.P.M. Goumans ; Johan Carlsson ; Ilian Todorov ; Lukas Gold ; Andreas Räder ; Wolfgang Wenzel ; Shahbaz Tareq Bandesha ; Philippe Jacques ; Francisco Garcia‐Moreno ; Oier Arcelus ; Pascal Friederich ; Simon Clark ; Mario Maglione ; Anssi Laukkanen ; Ivano Eligio Castelli ; Javier Carrasco ; Montserrat Casas Cabanas ; Helge Sören Stein ; Ozlem Ozcan ; David Elbert ; Karsten Reuter ; Christoph Scheurer ; Masahiko Demura ; Sang Soo Han ; Tejs Vegge ; Sawako Nakamae ; Monica Fabrizio ; Mark Kozdras
キーワード: advanced materials, artificial intelligence, autonomous labs, materials acceleration platforms, societal challenges
刊行年月日: 2024-09-06
更新時刻: 2024-11-11 16:30:34 +0900

論文
著者: 出村雅彦
キーワード: Materials Integration, Inverse design, Structural materials, Microstructure, Monte Carlo tree search, Aging, Heat-resistant alloys
刊行年月日: [2024年6月]
更新時刻: 2024-09-12 16:30:35 +0900

論文
著者: Masahiko Demura
キーワード: materials integration, processing-structure-property-performance linkage, integrated computational materials engineering, inverse design problem, digital platform for industry-academia collaboration, structural materials
刊行年月日: 2024-02-15
更新時刻: 2024-09-03 12:30:18 +0900

$Machine learning prediction of the mechanical properties of injection-molded polypropylene through X-ray diffraction analysis.pdf$

論文
著者: Ryo Tamura ; Kenji Nagata ; Keitaro Sodeyama ; Kensaku Nakamura ; Toshiki Tokuhira ; Satoshi Shibata ; Kazuki Hammura ; Hiroki Sugisawa ; Masaya Kawamura ; Teruki Tsurimoto ; Masanobu Naito ; Masahiko Demura ; Takashi Nakanishi
キーワード: Polypropylene, X-ray diffraction, Bayesian spectral deconvolution, Ising machine, Machine learning
刊行年月日: 2024-12-31
更新時刻: 2024-08-30 16:31:01 +0900