Thermal conductivity of Thue–Morse and double-period quasiperiodic graphene-hBN superlattices

Enhanced electron transport and self-similarity in quasiperiodic borophene nanoribbons with line defects

“…, the Fibonacci sequence. 49–64 In particular, both delocalized and critical electronic states exist in the quasiperiodic BNRs, in contrast to the Fibonacci model and quasiperiodic graphene superlattices which only possess critical states. 49–62…”

“…Therefore, we conclude that the energy spectra of the quasiperiodic BNRs are multifractal, complementing previous quasiperiodic models whose potential energies are generated following, e.g., the Fibonacci sequence. [49][50][51][52][53][54][55][56][57][58][59][60][61][62][63][64] In particular, both delocalized and critical electronic states exist in the quasiperiodic BNRs, in contrast to the Fibonacci model and quasiperiodic graphene superlattices which only possess critical states. [49][50][51][52][53][54][55][56][57][58][59][60][61][62] B. Self-similarity of quasiperiodic BNRs Finally, we investigate whether the important characteristic of self-similarity still holds in the quasiperiodic BNRs.…”

“…Very recently, quasiperiodic graphene-hBN nanoribbons have been reported by nonequilibrium molecular dynamics simulations and the quasiperiodicity could suppress the coherent phonon thermal transport. 63,64 However, the intermediate phase of quasiperiodic BNRs has not yet been addressed, which are constructed by properly arranging the α and β chains without any external condition. One may wonder how these quasiperiodic BNRs differ from the periodic and disordered ones and from previous quasiperiodic systems.…”

Lattice thermal conductivity of 2D nanomaterials: a simple semi-empirical approach

“…From the theoretical point of view, the most common approaches for the LTC rely on the Boltzmann transport equation, 47 via ab initio calculations, [48][49][50][51] Green's functions, [52][53][54][55] and molecular dynamics (MD) simulations. [56][57][58][59][60][61][62][63][64] Despite the success of these methods, they are computationally expensive, which poses limitations for extensive LTC analyses of 2D nanomaterials aimed to potential applications. Therefore, faster and simpler ways to estimate LTC for 2D nanomaterials are of great importance.…”