[PDF] Top 20 Next Nearest Neighbor Tight Binding Model of Plasmons in Graphene
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Next Nearest Neighbor Tight Binding Model of Plasmons in Graphene
... Graphene, a single layer of carbon atoms arranged as a honeycomb lattice, is a semimetal with remarkable phy- sical properties [2,3]. This is due to the band structure of the material which consists of two bands ... See full document
5
Semiclassical fluid model of nonlinear plasmons in doped graphene
... fluid model of high-frequency plasmons in doped graphene is derived by taking fluid moments of the semi-classical kinetic equation for the electron ...the model is in the long wavelength limit ... See full document
6
High Efficiency Plasmonic Third Harmonic Generation with Graphene on a Silicon Diffractive Grating in Mid infrared Region
... provide coherent light for silicon photonics. In general, the THG conversion efficiency (CE) for an optical waveguide can be enhanced by using phase matching between the fun- damental mode and the third-harmonic mode. ... See full document
9
Conductance of Graphene Nanoribbon Junctions and the Tight Binding Model
... our model nanoribbon. In the paper by Reich, tight binding para- meters were obtained by fitting the band structure to that obtained by ab initio ...of tight biding parameters based on fitting ... See full document
5
Ab initiotight-binding Hamiltonian for transition metal dichalcogenides
... the model parameters by fitting the band energies of ei- ther DFT calculations or experimental ...the nearest-neighbor tight-binding hamiltonian of single layer graphene, the ... See full document
17
Probing the Global Delocalization Transition in the de Moura-Lyra Model with the Kernel Polynomial Method
... one-dimensional tight-binding model at zero tem- perature, holding a correlated disorder model with an algebraic power-spectrum (de Moura-Lyra ...general nearest-neighbor 1D ... See full document
6
Energy Dispersion Model using Tight Binding Theory
... Tight binding model is found most accurately the simulation of the band structure and control the transition from direct band gap material in single-layered systems to indirect band gap material in ... See full document
105
Analysis on Fast Nearest Neighbor Search with Keywords
... Nearest neighbor search (NNS), also known as closest point search, similarity ...points. Nearest neighbor search which returns the nearest neighbor of a query point in a set of ... See full document
5
Secure K-Nearest Neighbor Search By Keywords
... We concentrate on taking care of the characterization issue over encoded information. Specifically, we propose a safe k-NN classifier over scrambled information in the cloud. The proposed convention ensures the ... See full document
6
Nearest neighbor imputation algorithms: a critical evaluation
... The concept that methods capable of weighting the in- formation provided by different variables may improve the performance of NN has previously been explored in [12] albeit with some substantial differences as com- ... See full document
12
Interaction between Substitutional and Interstitial Elements in α iron Studied by First principles Calculation
... lattice relaxation is not obvious. The influence of the band structure on the total energy is less direct than that on the magnetic moment. The effect of the selected k points on the interaction energy is thought to be ... See full document
8
Active Nearest-Neighbor Learning in Metric Spaces
... While this approach works for passive learning, in the active setting we face a crucial challenge: estimating the error of a nearest-neighbor rule at scale t using a small number of samples. A key insight ... See full document
38
Survey on Types of Bug Reports and General Classification Techniques in Data Mining
... proposed a method to combine neural network and data mining techniques to automate biomedical classification process to support decision. For improving the classification ability and behavior of neural network is used by ... See full document
6
Keyword Search for Quick Finding of Nearest Neighbor
... keywords. Nearest neighbor search algorithm use an access method called the spatial inverted index (SI ...keyword-improved nearest neighbor search in ... See full document
7
Nearest Neighbor Search with Anytime Clustering Method
... online nearest neighbor estimation technique which allows classification by using ...averaged nearest distance from querying objects to the objects in that category or candidate ...image. ... See full document
6
On the Rate of Convergence of the Bagged Nearest Neighbor Estimate
... Thus, in the present paper, we go one step further in bagging investigation and study the rate of convergence of E [r n ⋆ (X) − r(X)] 2 to 0 as n → ∞. We will start our analysis by stating a compre- hensive theorem on ... See full document
26
Efficient Surf Tracking by Nearest Neighbor Classifier
... their nearest neighboring framework, our tracker identifies the object target feature points compared with rest points, and updates the appearance model in an online ... See full document
6
An Improved Nearest Neighbor Algorithm for Solving TSP
... 7. Kizilates, Gzde, and Fidan Nuriyeva. "On the nearest neighbor algorithms for the traveling salesman problem." Advances in Computational Science, Engineering and Information Technology. Springer, ... See full document
5
Integrated development environment model for visual image processing based on Moore nearest neighbor model
... In the traditional integrated development environment for image processing, regardless of whether the background subtraction method or the template matching algorithm is adopted, it is necessary to carry out one-to-one ... See full document
10
Quick Search of the Nearest Neighbor with Words
... It is until recently that attention was diverted to multidimensional data. The best method to date for nearest neighbor search with keywords is due to Felipe et al.. They nicely integrate two well-known ... See full document
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