Recent advances in the synthesis of hexagonal boron nitride (BN) based nanostructures,
similar to graphene, graphene nanoribbons, and nanotubes, have attracted significant …

We investigate high-field transport in graphene nanoribbons (GNRs) on SiO 2, up to
breakdown. The maximum current density is limited by self-heating, but can reach> 3 mA/μ …

Strongly enhanced thermoelectric properties are predicted for graphene nanoribbons
(GNRs) with optimized pattern. By means of nonequilibrium Green's function atomistic …

We introduce an efficient algorithm for reducing bond dimensions in an arbitrary tensor
network without changing its geometry. The method is based on a quantitative …

We propose a different tensor renormalization group algorithm, anisotropic tensor
renormalization group (ATRG), for lattice models in arbitrary dimensions. The proposed …

We present calculations of the electronic and thermal transport properties of graphene
antidot lattices with a finite length along the transport direction. The calculations are based …

The article provides a tutorial review on how to treat Ising models within mean-field (MF),
effective-field (EF) and exact methods. MF solutions of the spin-1 Blume-Capel (BC) model …

Effectively engineering the lattice thermal conductivity of materials is a key interest of the
current thermal science community. Pressure or compressive strain is one of the most …

A linearized tensor renormalization group algorithm is developed to calculate the
thermodynamic properties of low-dimensional quantum lattice models. This new approach …

We propose an improved tensor renormalization-group (TRG) algorithm, the bond-weighted
TRG (BTRG). In BTRG, we generalize the conventional TRG by introducing bond weights on …