Deep machine learning for STEM image analysis › Research Explorer

DOI

https://doi.org/10.1016/j.mencom.2024.10.002
Final published version

Original language	English
Pages (from-to)	774-775
Number of pages	2
Journal	Mendeleev Communications
Volume	34
Issue number	6
DOIs	https://doi.org/10.1016/j.mencom.2024.10.002
Publication status	Published - Nov 2024

OECD FOS+WOS

1.04.DY CHEMISTRY, MULTIDISCIPLINARY
1.02.EP COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

Research areas

STEM, automatic recognition of objects, deep machine learning, image analysis, microscopy, neural network, supported catalysts

ID: 61147673