Sample Preparation for TEM Observation

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Related lectures (52)

Confidence Intervals and MLE Limit Theorems Log in to Mediaspace to watch this video

Explores constructing confidence intervals and MLE limit theorems for large samples.

Statistical Inference: Confidence Intervals Log in to Mediaspace to watch this video

Covers the construction of approximate confidence intervals using the central limit theorem for large sample sizes.

Boltzmann Machine Log in to Mediaspace to watch this video

Covers the Boltzmann Machine, a type of stochastic recurrent neural network.

Review Session: Module 1 Log in to Mediaspace to watch this video

Introduces inferential statistics, covering sampling, central tendency, dispersion, histograms, z-scores, and the normal distribution.

Physics-guided NMF for STEM/EDXS Data Analysis Log in to Mediaspace to watch this video

Explores Physics-guided NMF for STEM/EDXS data analysis, covering challenges, optimization, constraints, and advantages of the modelization.

Deviation from Bragg scattering Log in to Mediaspace to watch this video

Covers electron diffraction theory, Bragg's law, reciprocal lattice, Ewald sphere, and weak-beam dark-field imaging.

Inks Curing: Techniques and Importance Log in to Mediaspace to watch this video

Covers the techniques and importance of curing inks for sintering nanoparticles-based inks and improving conductivity.

Stochastic Simulation: Metropolis-Hastings Algorithm Log in to Mediaspace to watch this video

Covers the Metropolis-Hastings algorithm and convergence diagnostics in stochastic simulation, focusing on sampling and proposal generation.

Signals & Systems I: Sampling and Reconstruction Log in to Mediaspace to watch this video

Explores ideal sampling, Fourier transformation, spectral repetition, and analog signal reconstruction.

Sampling: Signal Reconstruction and Aliasing Log in to Mediaspace to watch this video

Covers the importance of sampling, signal reconstruction, and aliasing in digital representation.

Scanning Probe Microscopy: Forces, Tips, and Probes Log in to Mediaspace to watch this video

Explores the forces, tips, and probes used in Scanning Probe Microscopy, focusing on AFM principles, tip resolution limits, and cantilever probe fabrication.

Clustering & Density Estimation Log in to Mediaspace to watch this video

Covers clustering, PCA, LDA, K-means, GMM, KDE, and Mean Shift algorithms for density estimation and clustering.

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