David Ribar

I am a PhD student in Computational Chemistry at Lund University, Sweden. My main research is in the field of statistical mechanics, specifically, using classical density functional theory, integral equation theories, and Metropolis Monte Carlo simulations to model ionic systems, and their interactions with electrodes. By using various theoretical approaches, we wish to explore the physical foundations of experimentally observed phenomena, for example, anomalous underscreening in highly concentrated electrolyte solutions.

Keywords

Theoretical and computational chemistry
Polymer classical density functional theory (P-cDFT)
Integral equation theories (multidensity Ornstein-Zernike)
Ionic fluids
Molecular simulations (MC)
Small angle X-ray scattering (SAXS)
Multi-nuclear Nuclear Magnetic Resonance (NMR) spectroscopy

Current research focus

Theoretical and experimental understanding of electrostatic underscreening in concentrated electrolyte solutions.
Polymer cDFT to construct a model of ion clusters/aggregates in an aqueous solution.
Potential-induced phase transitions of ionic fluids, with industrial applications.
Clay particle systems investigated using SAXS as a model charged system in hypersaline conditions.