Probabilistic Interpretation for the Nonlinear Poisson-Boltzmann Equation in Molecular Dynamics

The Poisson-Boltzmann (PB) equation describes the electrostatic potential of a biomolecular system composed by a molecule in a solvent. The electrostatic potential is involved in biomolecular models which are used in molecular simulation. In consequence, finding an efficient method to simulate the numerical solution of PB equation is very useful. In this paper, we establish a probabilistic interpretation of the nonlinear PB equation with Backward Stochastic Differential Equations (BSDEs). This interpretation requires an adaptation of existing results on BSDEs.

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Source https://inria.hal.science/hal-00648180
Author Perrin, Nicolas
Maintainer CCSD
Last Updated May 26, 2026, 04:19 (UTC)
Created May 26, 2026, 04:19 (UTC)
Identifier hal-00648180
Language en
Rights https://about.hal.science/hal-authorisation-v1/
contributor TO Simulate and CAlibrate stochastic models (TOSCA) ; Centre Inria d'Université Côte d'Azur ; Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Institut Élie Cartan de Lorraine (IECL) ; Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)
creator Perrin, Nicolas
date 2012-03-01T00:00:00
harvest_object_id ca7c0245-ecf9-47a3-bb12-70aa8eb9f402
harvest_source_id 3374d638-d20b-4672-ba96-a23232d55657
harvest_source_title test moissonnage SELUNE
metadata_modified 2025-11-04T00:00:00
set_spec type:UNDEFINED