Fusion of Complementary 2D and 3D Mesostructural Datasets Using Generative Adversarial Networks-Reference-Cited by-同舟云学术

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Fusion of Complementary 2D and 3D Mesostructural Datasets Using Generative Adversarial Networks

Published:2022-11-18 Issue:2 Volume:13 Page:2202407
ISSN:1614-6832
Container-title:Advanced Energy Materials
language:en
Short-container-title:Advanced Energy Materials

Author:

Dahari Amir¹,Kench Steve¹,Squires Isaac¹,Cooper Samuel J.¹^ORCID

Affiliation:

1. Dyson School of Design Engineering Imperial College London London SW7 2DB UK

Funder

Engineering and Physical Sciences Research Council

Publisher

Wiley

Subject

General Materials Science,Renewable Energy, Sustainability and the Environment

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/aenm.202202407

Reference34 articles.

1. Completing the picture through correlative characterization

2. Determining the uncertainty in microstructural parameters extracted from tomographic data

3. Magnetotail reconnection onset caused by electron kinetics with a strong external driver

4. Communication—Technique for Visualization and Quantification of Lithium-Ion Battery Separator Microstructure

5. FIB/SEM tomography segmentation by optical flow estimation

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1. Video frame interpolation neural network for 3D tomography across different length scales;Nature Communications;2024-09-11

2. Stochastic reconstruction of heterogeneous microstructure combining sliced Wasserstein distance and gradient optimization;Acta Materialia;2024-08

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