Towards automatic feature extraction and sample generation of grain structure by variational autoencoder
Work
Year: 2023
Type: article
Source: Computational Materials Science
Institutions Key Laboratory of Guangdong Province, Karlsruhe Institute of Technology, State Key Laboratory of Optoelectronic Materials and Technology, Sun Yat-sen University, Karlsruhe University of Applied Sciences
Cites: 56
Cited by: 4
Related to: 10
FWCI: 0.639
Citation percentile (by year/subfield): 63.07
Subfield: Materials Chemistry
Field: Materials Science
Domain: Physical Sciences
Sustainable Development Goal Responsible consumption and production
Open Access status: closed