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.
Latest publications
Long-ranged double-layer forces at high ionic strengths, with a modified Restricted Primitive Model
David Ribar, Clifford E. Woodward, Jan Forsman
arXiv, 2024
Cluster Formation Induced by Local Dielectric Saturation in Restricted Primitive Model Electrolytes
David Ribar, Clifford E. Woodward, Sture Nordholm, Jan Forsman
The Journal of Physical Chemistry Letters, vol. 15(32), 2024, pp. 8326-8333
Cluster Formation induced by local dielectric saturation in Restricted Primitive Model Electrolytes
David Ribar, Clifford E. Woodward, Sture Nordholm, Jan Forsman
arXiv, 2024
Jan Forsman, David Ribar, Clifford E. Woodward
Physical Chemistry Chemical Physics, vol. 26, 2024, pp. 19921-19933
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