# Using LibRPA driver with FHI-aims dataset This tutorial will guide you through the process of setting up and running a calculation using FHI-aims for geometry and SCF computations and LibRPA for RPA energy computation. We will use an H2O molecule as the test case (the setup files can be found [here](https://github.com/Srlive1201/LibRPA/tree/master/regression_tests/testcases/mole_H2O/aims)). ## 1. **Prerequisites** Before starting, ensure that you have: - [FHI-aims](https://fhi-aims.org/get-the-code-menu/get-the-code) installed for running geometry optimizations and generating inputs for LibRPA. - LibRPA [installed](../../install.md) and ready for use. ## 2. **FHI-aims Input Files** These files are required to run the initial SCF and geometry optimization using FHI-aims: - **`control.in`**: This file contains control parameters for FHI-aims. Below is an example: ```text xc pbe total_energy_method rpa frequency_points 60 k_grid 1 1 1 output librpa binary ``` - **`geometry.in`**: Contains the geometry of the system. For H2O: ```text lattice_vector 20.00000 0.00000 0.00000 lattice_vector 0.00000 20.00000 0.00000 lattice_vector 0.00000 0.00000 20.00000 atom -0.07712649 0.00000000 1.49704522 O atom 0.82002231 0.00000000 1.86358518 H atom 0.07269418 -0.00000000 0.53972961 H ``` Run FHI-aims, and after the calculation is completed, the following files will be exported: ```text stru_out band_out KS_eigenvector_.txt Cs_data_.txt coulomb_mat_.txt ``` ## 3. **LibRPA Input File** - **`librpa.in`**: This file specifies the parameters for the RPA calculation. Example: ```text task = rpa nfreq = 16 binary_input = t use_scalapack_ecrpa = t ``` ## 4. **Running the RPA Calculation with LibRPA** After obtaining the output files from FHI-aims and setting up the parameters in `librpa.in`, you can use LibRPA to calculate the RPA correlation energy: ```bash mpirun -np 4 /path/to/LibRPA/build/chi0_main.exe > LibRPA.out ``` ## 5. **LibRPA Output** After the LibRPA calculation is completed, an output file (`LibRPA.out`) will be generated, which contains the results of the RPA correlation energy as well as the contributions from each k-point (in Hartree). ```text RPA correlation energy (Hartree) | Weighted contribution from each k: | ( 0, 0, 0): (-0.306259,0) | Total EcRPA: -0.306258516 ```