Modeling of the Gibbs-Donnan equilibrium in protein solutions

Dialysis, ultra- and dia-filtration is used in the industry to purify the protein solutions. As a consequence of the Donnan equilibrium and electrostatic interactions, pH in the protein solution (retentate) …

Ionization of weak polyelectrolytes in the semidilute and entangled regimes

The relationship between ionization and morphology in weak polyelectrolyte systems is complex and is influenced by external conditions such as pH, ionic strength, and polymer concentration. While extensive studies have …

Developing machine learning tools for reactive atomistic material modelling

Machine learning force fields (MLFFs): - Generation of reference ab initio database of energy/force/stress data and/or data mining of thereof and/or combination of existing datasets via, e.g., multi-task learning (e.g., …

Operando Modelling of porous catalytic nanomaterials via machine learning

Application of cutting edge machine-learning based methods in support of quantum chemistry calculations for enhanced sampling and analysis of catalytic porous materials (zeolites, MOFs, silicate derivatives) - towards bottom-up design …

Coarse-grained models for quantitative prediction of acid-base properties of peptides and proteins

The main focus of this thesis is to develop coarse-grained force fields which enable quantitative prediction of the net charge of peptides and proteins at various pH. It builds on …