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Microstructure Representation and Reconstruction of Heterogeneous
  Materials via Deep Belief Network for Computational Material Design

Microstructure Representation and Reconstruction of Heterogeneous Materials via Deep Belief Network for Computational Material Design

22 December 2016
Ruijin Cang
Yaopengxiao Xu
Shaohua Chen
Yongming Liu
Yang Jiao
Max Yi Ren
    AI4CE
    3DV
ArXivPDFHTML

Papers citing "Microstructure Representation and Reconstruction of Heterogeneous Materials via Deep Belief Network for Computational Material Design"

9 / 9 papers shown
Title
A Comprehensive Survey on Machine Learning Driven Material Defect Detection
A Comprehensive Survey on Machine Learning Driven Material Defect Detection
Jun Bai
Di Wu
T. Shelley
Peter Schubel
David Twine
John Russell
Xuesen Zeng
J. Zhang
75
6
0
12 Jun 2024
Denoising diffusion-based synthetic generation of three-dimensional (3D)
  anisotropic microstructures from two-dimensional (2D) micrographs
Denoising diffusion-based synthetic generation of three-dimensional (3D) anisotropic microstructures from two-dimensional (2D) micrographs
Kang-Hyun Lee
G. Yun
DiffM
29
2
0
13 Dec 2023
DA-VEGAN: Differentiably Augmenting VAE-GAN for microstructure
  reconstruction from extremely small data sets
DA-VEGAN: Differentiably Augmenting VAE-GAN for microstructure reconstruction from extremely small data sets
Yichi Zhang
P. Seibert
Alexandra Otto
Alexander Raßloff
M. Ambati
M. Kastner
SyDa
29
21
0
17 Feb 2023
Artificial intelligence approaches for materials-by-design of energetic
  materials: state-of-the-art, challenges, and future directions
Artificial intelligence approaches for materials-by-design of energetic materials: state-of-the-art, challenges, and future directions
Joseph B. Choi
Phong C. H. Nguyen
O. Sen
H. Udaykumar
Stephen Seung-Yeob Baek
PINN
AI4CE
29
11
0
15 Nov 2022
Deep Generative Models in Engineering Design: A Review
Deep Generative Models in Engineering Design: A Review
Lyle Regenwetter
Amin Heyrani Nobari
Faez Ahmed
3DV
AI4CE
34
175
0
21 Oct 2021
Self-supervised optimization of random material microstructures in the
  small-data regime
Self-supervised optimization of random material microstructures in the small-data regime
Maximilian Rixner
P. Koutsourelakis
AI4CE
21
15
0
05 Aug 2021
An efficient optimization based microstructure reconstruction approach
  with multiple loss functions
An efficient optimization based microstructure reconstruction approach with multiple loss functions
Anindya Bhaduri
Ashwini Gupta
Audrey Olivier
L. Graham‐Brady
22
29
0
04 Feb 2021
A Supervised Machine Learning Approach for Accelerating the Design of
  Particulate Composites: Application to Thermal Conductivity
A Supervised Machine Learning Approach for Accelerating the Design of Particulate Composites: Application to Thermal Conductivity
Mohammad Saber Hashemi
Masoud Safdari
A. Sheidaei
AI4CE
14
23
0
30 Sep 2020
Deep Generative Modeling for Mechanistic-based Learning and Design of
  Metamaterial Systems
Deep Generative Modeling for Mechanistic-based Learning and Design of Metamaterial Systems
Liwei Wang
Yu-Chin Chan
Faez Ahmed
Zhao Liu
Ping Zhu
Wei Chen
AI4CE
9
213
0
27 Jun 2020
1