ReviewEntropy (Basel, Switzerland)2020
Molecular Mean-Field Theory of Ionic Solutions: A Poisson-Nernst-Planck-Bikerman Model.
Review in Entropy (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
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Who cites it
12 citing papers in PubMed, 64 citations in OpenAlex.
- A Perspective on Multiscale Electrodiffusion and Model Selection for Ion Transport in Energy-Storage Nanomaterials.Nanomaterials (Basel, Switzerland) · 2026Article
- Multifactorial Regulation Mechanisms of Negative Differential Resistance in Macropores.Molecules (Basel, Switzerland) · 2026Article
- Impedance of Nonelectroneutral Solid Electrolyte Interphases With Nanopores: A Theoretical Model.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Legget-Garg inequality for a quantum model of ion channels.Scientific reports · 2026Article
- Quantum Capacity of Continuously Observed Ion Channels.Entropy (Basel, Switzerland) · 2026Article
- A Model Framework for Ion Channels with Selectivity Filters Based on Non-Equilibrium Thermodynamics.Entropy (Basel, Switzerland) · 2025Article
- Dielectric Permittivity in Copper Leaching: A Review.Sensors (Basel, Switzerland) · 2025Review
- Setting Boundaries for Statistical Mechanics.Molecules (Basel, Switzerland) · 2022Review
- Introduction to the Physics of Ionic Conduction in Narrow Biological and Artificial Channels.Entropy (Basel, Switzerland) · 2021Article
- Electrophysiological Properties from Computations at a Single Voltage: Testing Theory with Stochastic Simulations.Entropy (Basel, Switzerland) · 2021Article
- Maxwell Equations without a Polarization Field, Using a Paradigm from Biophysics.Entropy (Basel, Switzerland) · 2021Article
- Electric Double Layer and Orientational Ordering of Water Dipoles in Narrow Channels within a Modified Langevin Poisson-Boltzmann Model.Entropy (Basel, Switzerland) · 2020Article
Corrections and comments
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Authors and funding
2 authors at 2 institutions in 2 countries.
Funding
Abstract
We have developed a molecular mean-field theory-fourth-order Poisson-Nernst-Planck-Bikerman theory-for modeling ionic and water flows in biological ion channels by treating ions and water molecules of any volume and shape with interstitial voids, polarization of water, and ion-ion and ion-water correlations. The theory can also be used to study thermodynamic and electrokinetic properties of electrolyte solutions in batteries, fuel cells, nanopores, porous media including cement, geothermal brines, the oceanic system, etc. The theory can compute electric and steric energies from all atoms in a protein and all ions and water molecules in a channel pore while keeping electrolyte solutions in the extra- and intracellular baths as a continuum dielectric medium with complex properties that mimic experimental data. The theory has been verified with experiments and molecular dynamics data from the gramicidin A channel, L-type calcium channel, potassium channel, and sodium/calcium exchanger with real structures from the Protein Data Bank. It was also verified with the experimental or Monte Carlo data of electric double-layer differential capacitance and ion activities in aqueous electrolyte solutions. We give an in-depth review of the literature about the most novel properties of the theory, namely Fermi distributions of water and ions as classical particles with excluded volumes and dynamic correlations that depend on salt concentration, composition, temperature, pressure, far-field boundary conditions etc. in a complex and complicated way as reported in a wide range of experiments. The dynamic correlations are self-consistent output functions from a fourth-order differential operator that describes ion-ion and ion-water correlations, the dielectric response (permittivity) of ionic solutions, and the polarization of water molecules with a single correlation length parameter.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.