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
Classical density functional theory (cDFT)
Integral equation theories (multidensity Ornstein-Zernike)
Ionic fluids
Molecular simulations (MC)
Small angle X-ray scattering (SAXS)
Machine learning and data science

Current research focus

Theoretical understanding of electrostatic underscreening in concentrated electrolyte solutions.
Potential-induced phase transitions of ionic fluids, with industrial applications.
Clay particle systems investigated using SAXS as a model charged system in hypersaline conditions.