Fusion of Complementary 2D and 3D Mesostructural Datasets Using Generative Adversarial Networks (Adv. Energy Mater. 2/2023)

Subjects

Subjects :

Renewable Energy, Sustainability and the Environment
General Materials Science

Details

ISSN :

16146840 and 16146832

Volume :

13

Database :

OpenAIRE

Journal :

Advanced Energy Materials

Accession number :

edsair.doi...........9320ba1790c0caf77618fbcaaf366953

Full Text :

https://doi.org/10.1002/aenm.202370009