EELSFitter

Installation

  • Instructions
  • EELSfitter tutorial
  • Training models in parallel

Theory

  • Pooling and clustering
  • NN training
  • Kramers-Kronig analysis of EEL spectra
  • Band gap analysis

Key Results

  • Charting the low-loss region in Electron Energy Loss Spectroscopy with machine learning
  • Illuminating the Electronic Properties of WS2 Polytypism with Electron Microscopy
  • Spatially-resolved band gap and dielectric function in 2D materials from Electron Energy Loss Spectroscopy
  • Localized exciton anatomy and band gap energy modulation in 1D MoS2 nanostructures
  • Edge-induced excitations in Bi2Te3 from spatially-resolved electron energy-gain spectroscopy

Code

  • EELSFitter package

Bibliography

  • Bibliography
EELSFitter
  • Python Module Index

Python Module Index

e
 
e
- EELSFitter
    EELSFitter.core.gainpeakfitter
    EELSFitter.core.spectral_image
    EELSFitter.core.training
    EELSFitter.plotting.heatmaps
    EELSFitter.plotting.hyperparameters
    EELSFitter.plotting.training_perf
    EELSFitter.plotting.zlp

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