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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 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
Rapid measurement of low-order aberrations using Fourier transforms of crystalline Ronchigrams
Description/Abstract:
The aberrations of the objective lens should be measured and adjusted to realize high spatial resolution in scanning transmission electro...
Keyword:
Aberration
,
Ronchigram
,
STEM
, and
alignment
Resource Type:
Article
Author:
Koji Kimoto
and
Kazuo Ishizuka
Journal:
Ultramicroscopy
Date Uploaded:
02/08/2022
Date Modified:
03/08/2022
Non-negative matrix factorization for mining big data obtained using four-dimensional scanning transmission electron microscopy
Description/Abstract:
Scientific instruments for material characterization have recently been improved to yield big data. For instance, scanning transmission e...
Keyword:
electron microscopy
,
four-dimensional scanning transmission electron microscopy
, and
non-negative matrix factorization
Resource Type:
Article
Author:
Fumihiko Uesugi
,
Shogo Koshiya
,
Jun Kikkawa
,
Takuro Nagai
,
Kazutaka Mitsuishi
, and
Koji Kimoto
Journal:
Ultramicroscopy
Date Uploaded:
02/08/2022
Date Modified:
03/08/2022
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