Topology of Disordered 3D Graphene Networks
نویسندگان
چکیده
منابع مشابه
Cost-aware Topology Customization of Mesh-based Networks-on-Chip
Nowadays, the growing demand for supporting multiple applications causes to use multiple IPs onto the chip. In fact, finding truly scalable communication architecture will be a critical concern. To this end, the Networks-on-Chip (NoC) paradigm has emerged as a promising solution to on-chip communication challenges within the silicon-based electronics. Many of today’s NoC architectures are based...
متن کاملElectronic Transmission Wave Function of Disordered Graphene by Direct Method and Green's Function Method
We describe how to obtain electronic transport properties of disordered graphene, including the tight binding model and nearest neighbor hopping. We present a new method for computing, electronic transport wave function and Greens function of the disordered Graphene. In this method, based on the small rectangular approximation, break up the potential barriers in to small parts. Then using the f...
متن کاملDensity of states of disordered graphene
We calculate the average single-particle density of states in graphene with disorder due to impurity potentials. For unscreened short-ranged impurities, we use the non-self-consistent and self-consistent Born and T-matrix approximations to obtain the self-energy. Among these, only the self-consistent T-matrix approximation gives a nonzero density of states at the Dirac point. The density of sta...
متن کاملSpace Filling Curves for 3D Sensor Networks with Complex Topology
Several aspects of managing a sensor network (e.g., motion planning for data mules, serial data fusion and inference) benefit once the network is linearized to a path. The linearization is often achieved by constructing a space filling curve inside the domain. But existing methods cannot handle networks distributed on surfaces of complex topology. This paper presents a novel method for generati...
متن کاملTopology drives calcium wave propagation in 3D astrocyte networks
Glial cells are non-neuronal cells that constitute the majority of cells in the human brain and significantly modulate information processing via permanent cross-talk with the neurons. Astrocytes are also themselves inter-connected as networks and communicate via chemical wave propagation. How astrocyte wave propagation depends on the local properties of the astrocyte networks is however unknow...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Physical Review Letters
سال: 2019
ISSN: 0031-9007,1079-7114
DOI: 10.1103/physrevlett.123.116105