Index Catalog // MDR

Deep-learning-based inverse design of three-dimensional architected cellular materials with the target porosity and stiffness using voxelized Voronoi lattices

Description/Abstract:: Architected cellular materials are a class of artificial materials with cellular architecture-dependent properties. Typically, designing ...
Keyword:: Architected materials, Voronoi lattices, finite element simulation, generative adversarial network, inverse design, and mechanical properties
Resource Type:: Article
Author:: Xiaoyang Zheng, Ta-Te Chen, Xiaoyu Jiang, Masanobu Naito, and Ikumu Watanabe
Date Uploaded:: 28/02/2023

Individual separation of surface, bulk and Begrenzungs effect components in the surface electron energy spectra

Description/Abstract:: We present the first theoretical recipe for the clear and individual separation of surface, bulk and Begrenzungs effect components in sur...
Keyword:: reflection electron energy loss spectroscopy spectrum
Resource Type:: Article
Author:: Lihao Yang, Bo Da, Károly Tőkési, and Z. J. Ding
Date Uploaded:: 28/02/2023

Multiscale characterization of a polycrystalline aggregate subjected to severe plastic deformation with the finite element method

Description/Abstract:: The heterogeneous deformation of a polycrystalline aggregate under severe plastic deformation was reproduced with finite element analysis...
Keyword:: crystal plasticity, finite element analysis, severe plastic deformation, and texture
Resource Type:: Article
Author:: Ikumu Watanabe and Daigo Setoyama
Date Uploaded:: 28/02/2023

Numerical Estimation of Frictional Effects in Equal Channel Angular Extrusion

Description/Abstract:: The purpose of this study is to numerically estimate the friction coefficient for equal channel angular extrusion (ECAE) with and without...
Keyword:: equal channel angular extrusion, finite element analysis, and friction model
Resource Type:: Article
Author:: Vinicius Aguiar de Souza, Ikumu Watanabe, and Akira Yanagida
Date Uploaded:: 28/02/2023

Deep neural network approach to estimate biaxial stress-strain curves of sheet metals

Description/Abstract:: Multiaxial material testing is used to evaluate plastic deformation behavior of sheet metals in multiaxial stress states. A constitutive ...
Keyword:: Aluminum alloy sheets, Deep neural network, Material modeling, and Multiaxial material testing
Resource Type:: Article
Author:: Akinori Yamanaka, Ryunosuke Kamijyo, Kohta Koenuma, Ikumu Watanabe, and Toshihiko Kuwabara
Date Uploaded:: 28/02/2023

Effect of Punch Surface Grooves on Microformability of AA6063 Backward Microextrusion

Description/Abstract:: In order to apply conventional forming processes at the micro scale, the size effects caused by material properties and frictional effect...
Keyword:: aluminum alloy, grain size, microextrusion, microtexture, and size effect
Resource Type:: Article
Author:: Tatsuya Funazuka, Kuniaki Dohda, Tomomi Shiratori, Ryo Hiramiya, and Ikumu Watanabe
Date Uploaded:: 28/02/2023

Relationship Extraction with Weakly Supervised Learning Based on Process-Structure-Property-Performance Reciprocity

Description/Abstract:: We developed a computer aided material design system that extracts relationships from natural language texts in weakly labeled data. We b...
Keyword:: Natural language processing, knowledge extraction, materials informatics, relation extraction, and weakly supervised learning
Resource Type:: Article
Author:: Takeshi Onishi, Takuya Kadohira, and Ikumu Watanabe
Date Uploaded:: 17/02/2023

Forced Gradient Copolymer for Rational Design of Mussel-Inspired Adhesives and Dispersants

Description/Abstract:: イガイの接着機構を模倣した接着性ポリマーにおいて、接着部位の位置がAl-Al間の接着強度やチタン酸バリウムの分散性に影響を及ぼすことを明らかにした。
Keyword:: dispersant, BaTiO3, L-3,4- dihydroxyphenylalanine, adhesive, dopamine, forced gradient polymer, gallic acid, and mussel-inspired polymer
Resource Type:: Article
Author:: Takehiro Fujita, Masami Shuta, Mika Mano, Shinnosuke Matsumoto, Atsushi Nagasawa, Akihiro Yamada, and Masanobu Naito
Date Uploaded:: 15/02/2023

Understanding the evolution of a de novo molecule generator via characteristic functional group monitoring

Description/Abstract:: AIを用いた機能性有機化合物の開発。
Keyword:: De novo molecule generation, characteristic functional group monitoring, chromophore, and deep learning
Resource Type:: Article
Author:: Takehiro Fujita, Kei Terayama, Masato Sumita, Ryo Tamura, Yasuyuki Nakamura, Masanobu Naito, and Koji Tsuda
Date Uploaded:: 15/02/2023

Data-Driven Design of Transparent Thermal Insulating Nanoscale Layered Oxides

Description/Abstract:: Predicting the interfacial thermal resistance (ITR) for various material systems is a time-consuming process. In this study, we applied o...
Keyword:: thermal conductivity; thermal insulator; thin film; superlattice; transparency
Resource Type:: Article
Author:: Yen-Ju Wu and Yibin Xu
Date Uploaded:: 13/02/2023

Deep-learning-based inverse design of three-dimensional architected cellular materials with the target porosity and stiffness using voxelized Voronoi lattices

Individual separation of surface, bulk and Begrenzungs effect components in the surface electron energy spectra

Multiscale characterization of a polycrystalline aggregate subjected to severe plastic deformation with the finite element method

Numerical Estimation of Frictional Effects in Equal Channel Angular Extrusion

Deep neural network approach to estimate biaxial stress-strain curves of sheet metals

Effect of Punch Surface Grooves on Microformability of AA6063 Backward Microextrusion

Relationship Extraction with Weakly Supervised Learning Based on Process-Structure-Property-Performance Reciprocity

Forced Gradient Copolymer for Rational Design of Mussel-Inspired Adhesives and Dispersants

Understanding the evolution of a de novo molecule generator via characteristic functional group monitoring

Data-Driven Design of Transparent Thermal Insulating Nanoscale Layered Oxides

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