ddX: Polarizable continuum solvation from small molecules to proteins

M Nottoli, MF Herbst, A Mikhalev, A Jha… - Wiley …, 2024 - Wiley Online Library
Polarizable continuum solvation models are popular in both, quantum chemistry and in
biophysics, though typically with different requirements for the numerical methods. However …

Some Challenges of Diffused Interfaces in Implicit‐Solvent Models

M Guerrero‐Montero, M Bosy… - Journal of …, 2025 - Wiley Online Library
ABSTRACT The standard Poisson‐Boltzmann (PB) model for molecular electrostatics
assumes a sharp variation of the permittivity and salt concentration along the solute‐solvent …

Solution Decomposition for the Nonlinear Poisson–Boltzmann Equation Using the Range-Separated Tensor Format

C Kweyu, V Khoromskaia, BN Khoromskij, M Stein… - SIAM Journal on …, 2025 - SIAM
The Poisson–Boltzmann equation (PBE) is an implicit solvent continuum model for
calculating the electrostatic potential and energies of charged biomolecules in ionic …

An Investigation of Physics Informed Neural Networks to solve the Poisson-Boltzmann Equation in Molecular Electrostatics

MA Achondo, JH Chaudhry, CD Cooper - arxiv preprint arxiv:2410.12810, 2024 - arxiv.org
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 of …

[PDF][PDF] NUMERICAL ANALYSIS OF COMPLEX PHENOMENA: FROM COMPUTATIONAL FLUID DYNAMICS TO COMPUTATIONAL CHEMISTRY

DRA JHA - iisermohali.ac.in
Differential equations serve as powerful tools for modeling various natural phenomena, with
diffusion-reaction models standing out as a versatile class within the realm of Science. While …