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adcc : A versatile toolkit for rapid development of algebraic-diagrammatic construction methods

Herbst, Michael F. (författare)
Scheurer, Maximilian (författare)
Fransson, Thomas (författare)
Stockholms universitet,Fysikum,Heidelberg University, Germany
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Rehn, Dirk R. (författare)
Dreuw, Andreas (författare)
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 (creator_code:org_t)
2020-01-09
2020
Engelska.
Ingår i: Wiley Interdisciplinary Reviews. Computational Molecular Science. - : Wiley. - 1759-0876 .- 1759-0884. ; 10:6
  • Tidskriftsartikel (refereegranskat)
Abstract Ämnesord
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  • ADC-connect (adcc) is a hybrid python/C++ module for performing excited state calculations based on the algebraic-diagrammatic construction scheme for the polarization propagator (ADC). Key design goal is to restrict adcc to this single purpose and facilitate connection to external packages, for example, for obtaining the Hartree-Fock references, plotting spectra, or modeling solvents. Interfaces to four self-consistent field codes have already been implemented, namely pyscf, psi4, molsturm, and veloxchem. The computational workflow, including the numerical solvers, is implemented in python, whereas the working equations and other expensive expressions are done in C++. This equips adcc with adequate speed, making it a flexible toolkit for both rapid development of ADC-based computational spectroscopy methods as well as unusual computational workflows. This is demonstrated by three examples. Presently, ADC methods up to third order in perturbation theory are available in adcc, including the respective core-valence separation and spin-flip variants. Both restricted or unrestricted Hartree-Fock references can be employed.This article is categorized under: Software > Simulation Methods Electronic Structure Theory > Ab Initio Electronic Structure Methods Theoretical and Physical Chemistry > Spectroscopy Software > Quantum Chemistry

Ämnesord

NATURVETENSKAP  -- Kemi (hsv//swe)
NATURAL SCIENCES  -- Chemical Sciences (hsv//eng)

Nyckelord

algebraic diagrammatic construction methods
computational spectroscopy
python

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