Skip to Main content Skip to Navigation
Journal articles

A generalized Poisson and Poisson-Boltzmann solver for electrostatic environments

Abstract : The computational study of chemical reactions in complex, wet environments is critical for applications in many fields. It is often essential to study chemical reactions in the presence of applied electrochemical potentials, taking into account the non-trivial electrostatic screening coming from the solvent and the electrolytes. As a consequence, the electrostatic potential has to be found by solving the generalized Poisson and the Poisson-Boltzmann equations for neutral and ionic solutions, respectively. In the present work, solvers for both problems have been developed. A preconditioned conjugate gradient method has been implemented for the solution of the generalized Poisson equation and the linear regime of the Poisson-Boltzmann, allowing to solve iteratively the minimization problem with some ten iterations of the ordinary Poisson equation solver. In addition, a self-consistent procedure enables us to solve the non-linear Poisson-Boltzmann problem. Both solvers exhibit very high accuracy and parallel efficiency and allow for the treatment of periodic, free, and slab boundary conditions. The solver has been integrated into the BigDFT and Quantum-ESPRESSO electronic-structure packages and will be released as an independent program, suitable for integration in other codes. (C) 2016 AIP Publishing LLC.
Document type :
Journal articles
Complete list of metadatas

https://hal-cea.archives-ouvertes.fr/cea-01849435
Contributor : Jérôme Planès <>
Submitted on : Thursday, July 26, 2018 - 11:19:32 AM
Last modification on : Monday, July 20, 2020 - 2:12:02 PM

Links full text

Identifiers

Collections

Citation

Giuseppe Fisicaro, Luigi Genovese, Oliviero Andreussi, Nicola Marzari, Stefan Goedecker. A generalized Poisson and Poisson-Boltzmann solver for electrostatic environments. Journal of Chemical Physics, American Institute of Physics, 2016, 144 (1), pp.014103. ⟨10.1063/1.4939125⟩. ⟨cea-01849435⟩

Share

Metrics

Record views

352