The quantum transport properties of graphene nanoribbon networks are investigated using first-principles calculations based on density functional theory. Focusing on systems that can be experimentally realized with existing techniques, both in-plane conductance in interconnected graphene nanoribbons and tunneling conductance in out-of-plane nanoribbon intersections were studied. The characteristics of the ab initio electronic transport through in-plane nanoribbon cross-points is found to be in agreement with results obtained with semiempirical approaches. Both simulations confirm the possibility of designing graphene nanoribbon-based networks capable of guiding electrons along desired and predetermined paths. In addition, some of these inte...
An extended tight-binding model that includes up to third-nearest-neighbor hopping and a Hubbard mea...
Over the past decade, interest in using graphene in condensed-matter physics and materials science a...
First-principles and non-equilibrium Green\u2019s function approaches are used to predict spin-polar...
In recent years, there has been much interest in modelling graphene nanoribbons as they have great p...
We calculate the local current density in pristine armchair graphene nanoribbons (AGNRs) with varyin...
We characterize the transport properties of functionalized graphene nanoribbons using extensive firs...
We present first-principles transport calculations of graphene nanoribbons with chemically reconstru...
The atomic edges of graphene nanoribbons with anomalous geometry structure were very recently observ...
Although it is generally accepted that structural parameters like width, shape, and edge structure c...
Ab initio methods are used to study the spin-resolved transport properties of graphene nanoribbons (...
In this thesis, we focus on different aspects of electron transport in nanostructured graphene (such...
In this report, we use first-principles methods to investigate the spin-resolved transport proper- t...
Abstract. In this work, we study quantum transport properties of superlattice-graphene nanoribbons (...
In this report, the electronic properties of graphene were studied with OpenMX, a software package f...
Focusing on the potential applications of tailored graphene nanoribbons (t-GNRs), in this work, we s...
An extended tight-binding model that includes up to third-nearest-neighbor hopping and a Hubbard mea...
Over the past decade, interest in using graphene in condensed-matter physics and materials science a...
First-principles and non-equilibrium Green\u2019s function approaches are used to predict spin-polar...
In recent years, there has been much interest in modelling graphene nanoribbons as they have great p...
We calculate the local current density in pristine armchair graphene nanoribbons (AGNRs) with varyin...
We characterize the transport properties of functionalized graphene nanoribbons using extensive firs...
We present first-principles transport calculations of graphene nanoribbons with chemically reconstru...
The atomic edges of graphene nanoribbons with anomalous geometry structure were very recently observ...
Although it is generally accepted that structural parameters like width, shape, and edge structure c...
Ab initio methods are used to study the spin-resolved transport properties of graphene nanoribbons (...
In this thesis, we focus on different aspects of electron transport in nanostructured graphene (such...
In this report, we use first-principles methods to investigate the spin-resolved transport proper- t...
Abstract. In this work, we study quantum transport properties of superlattice-graphene nanoribbons (...
In this report, the electronic properties of graphene were studied with OpenMX, a software package f...
Focusing on the potential applications of tailored graphene nanoribbons (t-GNRs), in this work, we s...
An extended tight-binding model that includes up to third-nearest-neighbor hopping and a Hubbard mea...
Over the past decade, interest in using graphene in condensed-matter physics and materials science a...
First-principles and non-equilibrium Green\u2019s function approaches are used to predict spin-polar...