Index Catalog // MDR

Description/Abstract:: The yield-point phenomena in ferrite–pearlite duplex steels were investigated using multiscale computational simulations. In these multis...
Keyword:: yield-point phenomenon
Resource Type:: Article
Author:: Shinnosuke Yanagawa and Ikumu Watanabe
Journal:: ISIJ International
Date Uploaded:: 12/04/2024

Description/Abstract:: Variable-stiffness materials have a unique ability to change their stiffness reversibly in response to external stimuli or conditions. Ho...
Keyword:: Low-melting-point alloys, Mechanical metamaterials, Phase transition, Shape memory, Triply periodic minimal surfaces, and Variable-stiffness materials
Resource Type:: Article
Author:: Xiaoyang Zheng, Ikumu Watanabe, Siqian Wang, Ta-Te Chen, and Masanobu Naito
Journal:: Materials & Design
Date Uploaded:: 12/04/2024

Description/Abstract:: To enhance semiconductor efficiency, it is imperative to develop a die-bonding material possessing exceptional thermal conductivity and s...
Keyword:: Multi-objective topology optimization, finite element analysis, highthroughput evaluation, microstructure design, and porous microstructure
Resource Type:: Article
Author:: Jiaxin Zhou, Ikumu Watanabe, Weikang Song, Keita Kambayashi, and Ta-Te Chen
Journal:: Science and Technology of Advanced Materials: Methods
Date Uploaded:: 12/04/2024

Description/Abstract:: Nine metamaterial models
Keyword:: 3D geometry, Mechanical metamaterial, Model, and Negative Poisson's ratio
Resource Type:: Dataset
Data origin:: informatics and data sciences
Author:: Xiaoyang Zheng and Ikumu Watanabe
Journal:: Materials & Design
Date Uploaded:: 30/10/2023

Description/Abstract:: This tutorial aims to give an introduction of how to use a deep generative model, 3D conditional generative adversarial network (3D-CGAN)...
Keyword:: Deep learning; Generative adversarial network; Inverse design; 3D shape; Microstructure; Mechanical metamaterial
Resource Type:: Software
Data origin:: informatics and data sciences
Author:: Xiaoyang Zheng and Ikumu Watanabe
Journal:: Science and Technology of Advanced Materials
Date Uploaded:: 14/09/2023

Description/Abstract:: This tutorial aims to give an introduction of how to use a deep generative model, conditional generative adversarial network (CGAN). The ...
Keyword:: Deep learning; Generative adversarial network; Inverse design; Microstructure; Mechanical metamaterial
Resource Type:: Software
Data origin:: informatics and data science
Author:: Xiaoyang Zheng, Ta-Te Chen, Xiaofeng Guo, Sadaki Samitsu, and Ikumu Watanabe
Journal:: Materials & Design
Date Uploaded:: 21/03/2023

Description/Abstract:: The mechanical behavior of multilayer steel structures fabricated via wire and arc additive manufacturing (WAAM) has been investigated fr...
Keyword:: Wire and arc additive manufacturing, finite element method, instrumented indentation, multiscale characterization, and stainless steel
Resource Type:: Article
Author:: Ikumu Watanabe, Zhengzhong Sun, Houichi Kitano, and Kenta Goto
Date Uploaded:: 02/03/2023

Description/Abstract:: Stimuli-responsive polymers with complicated but controllable shape-morphing behaviors are critically desirable in several engineering f...
Keyword:: Covalent adaptable network polymer, creep deformation, shape-morphing polymer material, and topological alternation
Resource Type:: Article
Author:: Wei-Hsun Hu, Ta-Te Chen, Ryo Tamura, Kei Terayama, Siqian Wang, Ikumu Watanabe, and Masanobu Naito
Date Uploaded:: 02/03/2023

Description/Abstract:: Elastic modulus measured through atomic force microscopy (AFM)-based indentation on single carbon fiber (CF) is found with dependence on ...
Keyword:: Atomic force microscopy and indentation
Resource Type:: Article
Author:: Hongxin Wang, Han Zhang, Daiming Tang, Kenta Goto, Ikumu Watanabe, Hideaki Kitazawa, Masamichi Kawai, Hiroaki Mamiya, and Daisuke Fujita
Date Uploaded:: 02/03/2023

Description/Abstract:: Deformation of an aluminum alloy sheet which is affected by its underlying crystallographic texture has been widely studied using crystal...
Keyword:: crystallite orientation, deep learning, flow stress, numerical analysis, tension test, and texture
Resource Type:: Article
Author:: Kohta Koenuma, Akinori Yamanaka, Ikumu Watanabe, and Toshihiko Kuwabara
Date Uploaded:: 02/03/2023

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