A direct filter method for parameter estimation
Parameter estimation is an important research topic in data assimilation. In this paper, a
novel parameter estimation method is introduced, where the parameter is considered as the …
novel parameter estimation method is introduced, where the parameter is considered as the …
Machine Learning for Electron Microscopy
A Belianinov - Scanning Transmission Electron Microscopy, 2020 - taylorfrancis.com
Scanning (transmission) electron microscopies (S (T) EM) and spectroscopies are a well-
established, robust, set of imaging tools that proved to be irreplaceable in visualizing …
established, robust, set of imaging tools that proved to be irreplaceable in visualizing …
Deep Machine Learning in Electron and Scanning Probe Microscopy
The modern-day scanning tunneling and transmission electron microscopes (STM and
STEM) allow visualizing materials structure, electronic properties, and chemical …
STEM) allow visualizing materials structure, electronic properties, and chemical …
Artificial Intelligence in Materials Science: Applications of Machine Learning to Extraction of Physically Meaningful Information from Atomic Resolution Microscopy …
AB Maksov - 2018 - trace.tennessee.edu
Materials science is the cornerstone for technological development of the modern world that
has been largely shaped by the advances in fabrication of semiconductor materials and …
has been largely shaped by the advances in fabrication of semiconductor materials and …