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Tutorial for conditional generative adversarial network
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
Topological alternation from structurally adaptable to mechanically stable crosslinked polymer
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
Data-driven estimation of plastic properties in work-hardening model combining power-law and linear hardening using instrumented indentation test
Description/Abstract:
In this study, a method for determining the additional material constant in a modified work-hardening model combining power-law and linea...
Keyword:
Elastic-plastic material
,
finite element method
,
instrumented indentation test
,
material database
, and
response surface
Resource Type:
Article
Author:
Ta-Te Chen
and
Ikumu Watanabe
Date Uploaded:
28/02/2023
Data-driven estimation of plastic properties of alloys using neighboring indentation test
Description/Abstract:
A data-driven estimation method for the plastic properties of alloys was proposed using indentations at neighboring positions. An instrum...
Keyword:
Elastic-plastic material
,
finite element method
,
instrumented indentation test
,
material database
,
mechanical testing
, and
response surface
Resource Type:
Article
Author:
Ta-Te Chen
,
Ikumu Watanabe
,
Dayuan Liu
, and
Kenta Goto
Date Uploaded:
28/02/2023
Reprogrammable flexible mechanical metamaterials
Description/Abstract:
Mechanical metamaterials are artificial structures with structure-dependent properties. They often harness zero-energy deformation modes....
Keyword:
Buckling
,
Imperfection
,
Mechanical metamaterials
,
Negative Poisson’s ratios
,
Shape-memory polymers
, and
Soft robotics
Resource Type:
Article
Author:
Xiaoyang Zheng
,
Koichiro Uto
,
Wei-Hsun Hu
,
Ta-Te Chen
,
Masanobu Naito
, and
Ikumu Watanabe
Date Uploaded:
28/02/2023
Characterization of the Strain-Rate-Dependent Plasticity of Alloys Using Instrumented Indentation Tests
Description/Abstract:
Instrumented indentation tests are an efficient approach to characterize stress--strain curves instead of tensile or compression tests an...
Keyword:
finite elements
,
instrumented indentation test
,
mechanical testing
, and
strain-rate-dependent plasticity
Resource Type:
Article
Author:
Ta-Te Chen
,
Ikumu Watanabe
, and
Tatsuya Funazuka
Date Uploaded:
28/02/2023
Controllable inverse design of auxetic metamaterials using deep learning
Description/Abstract:
As typical mechanical metamaterials with negative Poisson's ratios, auxetic metamaterials exhibit counterintuitive auxetic behaviors tha...
Keyword:
Additive manufacturing
,
Generative adversarial network
,
Metamaterial
,
Negative Poisson’s ratio
, and
Voronoi tessellation
Resource Type:
Article
Author:
Xiaoyang Zheng
,
Ta-Te Chen
,
Xiaofeng Guo
,
Sadaki Samitsu
, and
Ikumu Watanabe
Date Uploaded:
28/02/2023
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
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7
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4
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8
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