Microstructure Generation via Generative Adversarial Network for Heterogeneous, Topologically Complex 3D Materials
Published 2020 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Microstructure Generation via Generative Adversarial Network for Heterogeneous, Topologically Complex 3D Materials
Authors
Keywords
-
Journal
JOM
Volume 73, Issue 1, Pages 90-102
Publisher
Springer Science and Business Media LLC
Online
2020-12-03
DOI
10.1007/s11837-020-04484-y
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Distributions of local electrochemistry in heterogeneous microstructures of solid oxide fuel cells using high-performance computations
- (2020) Tim Hsu et al. ELECTROCHIMICA ACTA
- Improving direct physical properties prediction of heterogeneous materials from imaging data via convolutional neural network and a morphology-aware generative model
- (2018) Ruijin Cang et al. COMPUTATIONAL MATERIALS SCIENCE
- An efficient approach for prediction of Warburg-type resistance under working currents
- (2018) Tao Yang et al. INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
- Mesoscale characterization of local property distributions in heterogeneous electrodes
- (2018) Tim Hsu et al. JOURNAL OF POWER SOURCES
- Performance Degradation Predictions Based on Microstructural Evolution Due to Grain Coarsening Effects in Solid Oxide Fuel Cell Electrodes
- (2018) Jerry Mason et al. JOURNAL OF THE ELECTROCHEMICAL SOCIETY
- Computational microstructure characterization and reconstruction: Review of the state-of-the-art techniques
- (2018) Ramin Bostanabad et al. PROGRESS IN MATERIALS SCIENCE
- Generation of statistically representative synthetic three-dimensional microstructures
- (2018) Sudipto Mandal et al. SCRIPTA MATERIALIA
- Stochastic Reconstruction of an Oolitic Limestone by Generative Adversarial Networks
- (2018) Lukas Mosser et al. TRANSPORT IN POROUS MEDIA
- Microstructural Materials Design via Deep Adversarial Learning Methodology
- (2018) Zijiang Yang et al. JOURNAL OF MECHANICAL DESIGN
- Quantifying intermediate-frequency heterogeneities of SOFC electrodes using X-ray computed tomography
- (2017) William K. Epting et al. JOURNAL OF THE AMERICAN CERAMIC SOCIETY
- Stochastic microstructure characterization and reconstruction via supervised learning
- (2016) Ramin Bostanabad et al. ACTA MATERIALIA
- Descriptor-based methodology for statistical characterization and 3D reconstruction of microstructural materials
- (2014) Hongyi Xu et al. COMPUTATIONAL MATERIALS SCIENCE
- Efficient 3D porous microstructure reconstruction via Gaussian random field and hybrid optimization
- (2013) Z. JIANG et al. JOURNAL OF MICROSCOPY
- Resolving the Three-Dimensional Microstructure of Polymer Electrolyte Fuel Cell Electrodes using Nanometer-Scale X-ray Computed Tomography
- (2011) William K. Epting et al. ADVANCED FUNCTIONAL MATERIALS
- Three-dimensional bicontinuous ultrafast-charge and -discharge bulk battery electrodes
- (2011) Huigang Zhang et al. Nature Nanotechnology
- Multifunctional 3D nanoarchitectures for energy storage and conversion
- (2008) Debra R. Rolison et al. CHEMICAL SOCIETY REVIEWS
- Modeling heterogeneous materials via two-point correlation functions. II. Algorithmic details and applications
- (2008) Y. Jiao et al. PHYSICAL REVIEW E
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationPublish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn More