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A Data-Driven Approach to Full-Field Damage and Failure Pattern
  Prediction in Microstructure-Dependent Composites using Deep Learning

A Data-Driven Approach to Full-Field Damage and Failure Pattern Prediction in Microstructure-Dependent Composites using Deep Learning

9 April 2021
R. Sepasdar
Anuj Karpatne
Maryam Shakiba
    AI4CE
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Papers citing "A Data-Driven Approach to Full-Field Damage and Failure Pattern Prediction in Microstructure-Dependent Composites using Deep Learning"

3 / 3 papers shown
Title
Introducing a microstructure-embedded autoencoder approach for
  reconstructing high-resolution solution field data from a reduced parametric
  space
Introducing a microstructure-embedded autoencoder approach for reconstructing high-resolution solution field data from a reduced parametric space
Rasoul Najafi Koopas
Shahed Rezaei
N. Rauter
Richard Ostwald
R. Lammering
AI4CE
45
4
0
03 May 2024
Physics-Constrained Neural Network for Design and Feature-Based
  Optimization of Weave Architectures
Physics-Constrained Neural Network for Design and Feature-Based Optimization of Weave Architectures
Haotian Feng
Sabari Subramaniyan
H. Tewani
P. Prabhakar
AI4CE
27
4
0
19 Sep 2022
Predicting Mechanically Driven Full-Field Quantities of Interest with
  Deep Learning-Based Metamodels
Predicting Mechanically Driven Full-Field Quantities of Interest with Deep Learning-Based Metamodels
S. Mohammadzadeh
Emma Lejeune
AI4CE
28
28
0
24 Jul 2021
1