The critical behavior of the weak-field Hall effect near a percolation threshold is studied with the help of two discrete random network models. Many finite realizations of such networks at the percolation threshold a...
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The critical behavior of the weak-field Hall effect near a percolation threshold is studied with the help of two discrete random network models. Many finite realizations of such networks at the percolation threshold are produced and solved to yield the potentials at all sites. A new algorithm for doing that was developed that is based on the transfermatrix method. The site potentials are used to calculate the bulk effective Hall conductivity and Hall coefficient, as well as some other properties, such as the Ohmic conductivity, the size of the backbone, and the number of binodes. Scaling behavior for these quantities as power laws of the network size is determined and values of the critical exponents are found.
In this work, investigation of a silicon-based tandem heterojunction solar cell was iterated via numerical modeling. The tandem cell was split into a top metal oxide and bottom c-Si subcell, and each subcell was analy...
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ISBN:
(纸本)9783319951652;9783319951645
In this work, investigation of a silicon-based tandem heterojunction solar cell was iterated via numerical modeling. The tandem cell was split into a top metal oxide and bottom c-Si subcell, and each subcell was analyzed and compared with experimental data. For the top subcell, Silvaco Atlas was used to ascertain optimum materials for the buffer layer and their impact on the cell performance. For the bottom subcell, a Quokka 2 model has be used to evaluate and compare current-voltage and quantum efficiency curves with experimental data. transfer matrix algorithm was used to ascertain top subcell optical field characterization. The buffer layer materials for the ZnO/Cu2O subcell that yielded best cell performance are presently TiO2 and Ga(2)O(3 )while the Quokka 2 model presents a good fit with the experimental curves.
We present an algorithm to compute the exact probability R ( n )(p) for a site percolation cluster to span an n x n square lattice at occupancy p. The algorithm has time and space complexity O(lambda ( n )) with lambd...
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We present an algorithm to compute the exact probability R ( n )(p) for a site percolation cluster to span an n x n square lattice at occupancy p. The algorithm has time and space complexity O(lambda ( n )) with lambda approximate to 2.6. It allows us to compute R ( n )(p) up to n = 24. We use the data to compute estimates for the percolation threshold p (c) that are several orders of magnitude more precise than estimates based on Monte-Carlo simulations.
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