We employ machine learning to derive tight-binding parametrizations for the electronic
structure of defects. We test several machine learning methods that map the atomic and …

The electronic properties of vertically coupled stacked graphene quantum dots (GQDs) of
triangular shape are investigated using density functional theory, including the influence of …

Quantum Hall edge states are the paradigmatic example of bulk-boundary correspondence.
They are prone to intricate reconstructions calling for their detailed investigation at high …

We employ machine learning to derive tight-binding parametrizations for the electronic
structure of defects. We test several machine learning methods that map the atomic and …

When an energy gap is induced in monolayer graphene the valley degeneracy is broken
and the energy spectrum of a confined system such as a quantum dot, becomes rather …

Two dimensional crystals—exfoliated from weakly (Van der Waals) coupled layered
materials—open the possibility of studying 2D materials both theoretically and …

The topic of this thesis is on quantum transport calculations through so-called 'kink'states in
graphene systems. These states allow us to filter electrons according to their valley index …