Tutorials

Important

Before you get started, make sure that you have:

• installed the aiida-quantumespresso, aiida-hubbard, and aiida-pseudo packages (see instructions)

• configured the pw.x AND the hp.x codes (see instructions)

• installed the SSSP pseudopotential family (see instructions)

In this section you will find some tutorials that you will guide you through how to use the aiida-hubbard plugin, from zero to hero! We strongly recommend to start from the first one and work your way up with the other ones.

Go to one of the tutorials!

1. Computing Hubbard parameters: get started with predicting the Hubbard parameters step by step, by using the WorkChains of the aiida-hubbard and aiida-quantumespresso suite.

2. Hubbard parameters in parallel: learn the automated parallel calculation of Hubbard parameters to speed up your work.

3. Self-consistent Hubbard parameters: compute self-consistently the Hubbard parameters in automated fashion.

Here below the estimated time to run each tutorial (jupyter notebook):

Document	Modified	Method	Run Time (s)	Status
1_computing_hubbard	2025-12-19 16:20	auto	65.59	✅