Ceramic materials play a crucial role in various industrial applications from structural ceramics to ferroelectrics, energy storage, and conversion. The functionality of these materials is often determined by the properties of grain boundaries, individual grains, and defects. Understanding these features at the nanoscale is essential for optimizing their performance.
SPM is a unique and powerful tool capable of exploring materials' structure and functionality at nanometer scales.
This technique allows detailed probing of electronic and ionic transport, as well as ferroelectric and electrochemical properties of materials. This course is designed for students, researchers, and industry practitioners who aim to leverage SPM for advanced materials characterization and enhance their data analysis skills through machine learning.