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Related lectures (28)
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Solid State Characterization
Covers state-of-the-art methods for solid state characterization and emphasizes choosing the appropriate method for different materials.
Al for Chemistry: CAT+ Project and Catalyst Optimization
Explores the CAT+ project's AI-driven catalyst optimization in chemistry research and the challenges in data analysis and communication.
Quantum Mechanics: Energy Levels
Explores energy levels of particles, hydrogen-like atoms, quantum numbers, molecular bonding, and vibrational states.
Electron Microscopy: EDS and ESEM
Explores EDS and ESEM principles, x-ray detection, ionization efficiency, Moseley's law, and ESEM sample environments.
Semiconductor Physics: Signal Amplification and Doping
Explores signal amplification in semiconductor devices through pn doping in silicon and spectroscopic analysis.
Physics-guided NMF for STEM/EDXS Data Analysis
Explores Physics-guided NMF for STEM/EDXS data analysis, covering challenges, optimization, constraints, and advantages of the modelization.
EBSD and ESEM
Introduces EBSD and ESEM, covering acquisition, sample preparation, indexing, applications, and data analysis, along with the operation and benefits of ESEM.
Energy Dispersive X-ray Microanalysis: Fundamentals and Applications
Covers the fundamentals and applications of Energy Dispersive X-ray Microanalysis, explaining how it works and its challenges.
