ELECTRON
CRYSTALLOGRAPHY
A deep dive into nanocrystals
AIC2023 International School
Talk presentations
3D ED data reduction and analysis
P Brazda
[pdf-embedder url=”http://school2025.cristallografia.org/wp-content/uploads/2023/09/data_reduction.pdf”]
Structure solution with 3D ED data – B Carrozzini
[pdf-embedder url=”http://school2025.cristallografia.org/wp-content/uploads/2023/09/ED_Pisa23_final.pdf”]
Kinematical structural refinement with 3D ED data: how to refine a crystal structure kinematically – T Gruene
[pdf-embedder url=”http://school2025.cristallografia.org/wp-content/uploads/2023/09/tgruene_Pisa_2023-07-04.pdf”]
Dynamical refinement – P Brazda
[pdf-embedder url=”http://school2025.cristallografia.org/wp-content/uploads/2023/09/dynamical_refinement.pdf”]
Structure analysis of organic compounds – T Gorelik
[pdf-embedder url=”http://school2025.cristallografia.org/wp-content/uploads/2023/09/Lecture_1_Structure_Analysis_of_Organic_Compounds.pdf”]
Challenging problems and 3D ED data: small molecules, H determination, absolute structure – P Brazda
[pdf-embedder url=”http://school2025.cristallografia.org/wp-content/uploads/2023/09/advanced_problems.pdf”]
Structure solution with SIR – B Carrozzini
[pdf-embedder url=”http://school2025.cristallografia.org/wp-content/uploads/2023/09/Sir2019_tutorial_ED_final.pdf”]
Useful papers
Hydrogen positions in single nanocrystals revealed by electron diffraction
Electron diffraction determines molecular absolute configuration in a pharmaceutical nanocrystal
JANA 2020 – a new version of the crystallographic computing system JANA
Structure refinement using precession electron diffraction tomography and dynamical diffraction: theory and implementation
Accurate lattice parameters from 3D electron diffraction data. I. Optical distortions

