adcc: Seamlessly connect your program to ADC¶

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Note

This documentation page is still under construction.

ADC-connect – or adcc in short – is a Python-based framework to connect to arbitrary programs and perform calculations based on the algebraic-diagrammatic construction approach (ADC) on top of their existing self-consistent field (SCF) procedures. Four SCF codes can be used with adcc out of the box, namely molsturm, psi4, PySCF, and veloxchem.

The range of supported algebraic-diagrammatic construction (ADC) methods includes the ADC(n) family up to level 3, including variants such as spin-flip and core-valence separation. For all methods transition and excited state properties are available. See the Performing calculations with adcc for more details. Recently we submitted a paper about adcc, see [HSF+19].

Getting a first taste¶

The next code snippet should give you an idea, how adcc works in practice. It shows how an ADC(3) calculation for 3 singlet excited states of water can be performed on top of a restricted Hartree-Fock reference computed using PySCF.

from matplotlib import pyplot as plt
from pyscf import gto, scf
import adcc

# Run SCF in pyscf
mol = gto.M(
    atom='O 0 0 0;'
         'H 0 0 1.795239827225189;'
         'H 1.693194615993441 0 -0.599043184453037',
    basis='cc-pvtz',
    unit="Bohr"
)
scfres = scf.RHF(mol)
scfres.conv_tol = 1e-13
scfres.kernel()

# Run an ADC(3) calculation, solving for 3 singlets
state = adcc.adc3(scfres, n_singlets=3)

# Broaden the peaks and plot the resulting spectrum
state.plot_spectrum(broadening='lorentzian')
plt.show()

Sounds interesting? See Installation and Performing calculations with adcc for installation instructions and some more information to get going.

Contents¶

Introduction

Extra information

Index