2021
DOI: 10.1002/jcc.26716
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ARGOS: An adaptive refinement goal‐oriented solver for the linearized Poisson–Boltzmann equation

Abstract: An adaptive finite element solver for the numerical calculation of the electrostatic coupling between molecules in a solvent environment is developed and tested. At the heart of the solver is a goal‐oriented a posteriori error estimate for the electrostatic coupling, derived and implemented in the present work, that gives rise to an orders of magnitude improved precision and a shorter computational time as compared to standard finite difference solvers. The accuracy of the new solver ARGOS is evaluated by nume… Show more

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Cited by 2 publications
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“…The molecular surface can be defined in various ways. 6 The PBE has been solved numerically with finite difference, [7][8][9][10] finite element, [11][12][13] boundary element, [14][15][16][17][18][19] and analytic [20][21][22][23][24] methods. In particular, the boundary element method (BEM) has proven to be very efficient for high-accuracy calculations, 18,19 mainly due to the precise description of the molecular surface and point charges.…”
Section: Introductionmentioning
confidence: 99%
“…The molecular surface can be defined in various ways. 6 The PBE has been solved numerically with finite difference, [7][8][9][10] finite element, [11][12][13] boundary element, [14][15][16][17][18][19] and analytic [20][21][22][23][24] methods. In particular, the boundary element method (BEM) has proven to be very efficient for high-accuracy calculations, 18,19 mainly due to the precise description of the molecular surface and point charges.…”
Section: Introductionmentioning
confidence: 99%
“…This, however, does not diminish the importance of studying the behavior of the LPBE also in the case of highly charged objects: their electrostatics may still be correctly described at sufficiently long distances (as compared to the Debye length) by the usual DH approximation provided that the sources of the electric field are properly renormalized. (See also the recent ref for additional comments concerning the ranges of applicability of the DH theory.) This once again emphasizes the importance of a thorough study of the DH approximations, both theoretically and numerically, and justifies the constant stream of works related to the LPBE (see recent refs , , and , and references therein).…”
Section: Introductionmentioning
confidence: 99%