1 citations · 1 across the 2 of their papers we have counts for
3 papers
A Self-Adjusting FEM-BEM Coupling Scheme for the Nonlinear Poisson-Boltzmann Equation
Mauricio Guerrero-Montero, Michal Bosy, Christopher D. Cooper
The Poisson-Boltzmann equation is widely used to model molecular electrostatics; however, it is usually solved in linearised form because the sinh nonlinearity is challenging, limi…
An Investigation of Physics Informed Neural Networks to solve the Poisson-Boltzmann Equation in Molecular Electrostatics
Martin A. Achondo, Jehanzeb H. Chaudhry, Christopher D. Cooper
Physics-informed neural networks (PINN) is a machine learning (ML)-based method to solve partial differential equations that has gained great popularity due to the fast development…
Some challenges of diffused interfaces in implicit-solvent models
Mauricio Guerrero-Montero, Michal Bosy, Christopher D. Cooper
The standard Poisson-Boltzmann model for molecular electrostatics assumes a sharp variation of the permittivity and salt concentration along the solute-solvent interface. The disco…