PhD Courses

Advanced Course on Thermodynamic Models: Fundamentals & Computational Aspects

The course will provide the participants with a knowledge of the fundamentals of thermodynamics, an overview of the most important thermodynamic models currently used in industrial practice, including how efficient computer codes for such models are written and checked for errors.

In addition the course will emphasize the development of efficient procedures for calculation of phase equilibria under a variety of conditions.

The practical part of the course, where the participants have to develop their own codes, emphasizes in particular this aspect.

The course is of relevance for researchers engaged in the development and implementation of thermodynamic models for process simulation or for those who just want to learn how to develop and write an efficient and consistent computer code. Download brochure

Electrolyte Solution Thermodynamics

General course objectives:
To introduce the participants to the thermodynamics of electrolyte solutions

The aim of the course is to give an introduction to concepts important for understanding and working with electrolyte solution thermodynamics.

Topics being discussed include experimental methods for measuring properties of salt solutions, molal, molar and mole fraction activity coefficients, the Nernst equation, Debye-Hückel theory, the Mean Spherical Approximation (MSA) theory, molecular interactions in electrolyte solutions, dielectric properties of solvents and its effect on salt solubility, Born equation, Gibbs energy of transfer, Meisner model, Bromley model, Pitzer model, e-NRTL model, Extended UNIQUAC model, MSE model, equations of state for electrolytes, apparent properties, thermal properties, volumetric properties of electrolytes, phase rule and invariant points, crystallization, super saturation, the Kelvin equation, fractional crystallization. read more

Chalk Physics

General course objectives:
The aim is to provide to the participant skills in evaluating chalk from a physical perspective: How composition, texture, diagenesis and rock properties are interrelated.

How reservoir properties are evaluated by petrophysics. Rock physical interpretation and rock mechanics of this soft-hard or hard-soft sedimentary rock; and finally how physical properties depend on scale of measurement. read more

Uncertainty Quantification

The PhD course is offered as a part of activities and with support from the DTU Compute PhD School and the Danish Center for Applied Mathematics and Mechanics (DCAMM) at Technical University of Denmark.

The aim of the course is to introduce the students to some of the methods and algorithms used in uncertainty quantification (UQ), and let the students experience these methods on elementary computer experiments.

The PhD course covers several topics in UQ: uncertainty parametrization, uncertainty propagation, sensitivity analysis, inference and uncertainty reduction.

Related methods (e.g. Monte-Carlo simulation, spectral decompositions, surrogate modeling, Bayesian inference, Gaussian models) will be reviewed and some of them illustrated during computer experiments and projects.

The objective is to give the student an overview of the "tools" available and how they can be modified for particular UQ applications. Read more


Wei Yan
Senior Researcher
DTU Chemistry


Kaj Thomsen
Associate Professor
DTU Chemical Engineering
+45 45 25 28 60


Ida Lykke Fabricius
Professor, head of section
DTU Civil Engineering
+45 45 25 21 62