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2104.04485
Cited By

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

Anuj Karpatne

ArXiv (abs)PDF HTML

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

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 spaceComputational Mechanics (CM), 2024

Rasoul Najafi Koopas

Richard Ostwald

299

8

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

Sabari Subramaniyan

155

6

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 MetamodelsExtreme Mechanics Letters (Extreme Mech. Lett.), 2021

S. Mohammadzadeh

232

36

0

24 Jul 2021

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