DeePTB: A deep learning package for tight-binding Hamiltonian with ab initio accuracy.
-
Updated
Jul 4, 2026 - Python
DeePTB: A deep learning package for tight-binding Hamiltonian with ab initio accuracy.
Scientific Python package for solving Slater Koster tight-binding topological hamiltonian
Tight-binding parameter fitting package (TBFIT) for Slater-Koster method
Basic programs for generating Slater-Koster files for the DFTB-method
General purpose Slater-Koster tight-binding library for electronic structure calculations
DeePTB: A deep learning package for tight-binding approach with ab initio accuracy.
Python implementation of the electronic band structure of monolayer MoS₂ using the Slater–Koster tight-binding model.
Add a description, image, and links to the slater-koster topic page so that developers can more easily learn about it.
To associate your repository with the slater-koster topic, visit your repo's landing page and select "manage topics."