Importance of interband transitions for the fractional quantum Hall effect in bilayer graphene
Physical Review B - Condensed Matter and Materials Physics 85:20 (2012)
Abstract:
Several recent works have proposed that electron-electron interactions in bilayer graphene can be tuned with the help of external parameters, making it possible to stabilize different fractional quantum Hall states. In these prior works, phase diagrams were calculated based on a single Landau level approximation. We go beyond this approximation and investigate the influence of polarization effects and virtual interband transitions on the stability of fractional quantum Hall states in bilayer graphene. We find that for realistic values of the dielectric constant, the phase diagram is strongly modified by these effects. We illustrate this by evaluating the region of stability of the Pfaffian state. © 2012 American Physical Society.Quantum Quench in the Transverse Field Ising Chain II: Stationary State Properties
ArXiv 1205.2211 (2012)
Abstract:
We consider the stationary state properties of the reduced density matrix as well as spin-spin correlation functions after a sudden quantum quench of the magnetic field in the transverse field Ising chain. We demonstrate that stationary state properties are described by a generalized Gibbs ensemble. We discuss the approach to the stationary state at late times.Quantum Quench in the Transverse Field Ising Chain II: Stationary State Properties
(2012)
Epistasis can lead to fragmented neutral spaces and contingency in evolution.
Proc Biol Sci 279:1734 (2012) 1777-1783
Abstract:
In evolution, the effects of a single deleterious mutation can sometimes be compensated for by a second mutation which recovers the original phenotype. Such epistatic interactions have implications for the structure of genome space--namely, that networks of genomes encoding the same phenotype may not be connected by single mutational moves. We use the folding of RNA sequences into secondary structures as a model genotype-phenotype map and explore the neutral spaces corresponding to networks of genotypes with the same phenotype. In most of these networks, we find that it is not possible to connect all genotypes to one another by single point mutations. Instead, a network for a phenotypic structure with n bonds typically fragments into at least 2(n) neutral components, often of similar size. While components of the same network generate the same phenotype, they show important variations in their properties, most strikingly in their evolvability and mutational robustness. This heterogeneity implies contingency in the evolutionary process.Easier sieving through narrower pores: Fluctuations and barrier crossing in flow-driven polymer translocation
Soft Matter 8:16 (2012) 4306-4309