A Random Resistor Network Model of Space-Time
نویسنده
چکیده
A new model of space-time is proposed that incorporates the properties of a random resistor network. The self-similar nature of such networks is particularly useful in extrapolating force interactions to different levels of scale. By modeling time and matter as current and resistance, respectively, a simple equation for mass, time, and motion is derived that provides a novel mechanism for the displacement of matter.
منابع مشابه
The Investigation of Giant Magneto Resistance in an Inhomogeneous Ladder Lattice
Abstract : The variation of the electrical resistivity of a material in the externalmagnetic field is known as magneto resistance. This phenomenon has been attractedboth theoretical and experimental researchers in miniaturization of magneto meters inthe recent years. In this paper, the magneto resistance of an inhomogeneous twodimensional conductor with ladder geometry i...
متن کاملExact exponent relations for random resistor-diode networks
We investigate the percolation properties of a random network of non-directed bonds (resistors) and urbitrurily oriented directed bonds (diodes). For the square lattice, there is a multicritical line which connects the isotropic percolation threshold with a network fully occupied by randomly oriented diodes (‘random Manhattan’). Along this line, symmetry and invariance properties are used to de...
متن کاملRandom resistor network model of minimal conductivity in graphene.
Transport in undoped graphene is related to percolating current patterns in the networks of n- and p-type regions reflecting the strong bipolar charge density fluctuations. Finite transparency of the p-n junctions is vital in establishing the macroscopic conductivity. We propose a random resistor network model to analyze scaling dependencies of the conductance on the doping and disorder, the qu...
متن کاملThe use of wavelet - artificial neural network and adaptive neuro fuzzy inference system models to predict monthly precipitation
Precipitation forecasting due to its random nature in space and time always faced with many problems and this uncertainty reduces the validity of the forecasting model. Nowadays nonlinear networks as intelligent systems to predict such complex phenomena are widely used. One of the methods that have been considered in recent years in the fields of hydrology is use of wavelet transform as a moder...
متن کاملDynamical percolation model of conductance fluctuations in hydrogenated amorphous silicon.
Conductance fluctuations in hydrogenated amorphous silicon (a-Si:H) are simulated using a dynamical model of resistor diffusion on a lattice held at the percolation threshold. A fraction of lattice sites is designated as a trap, such that when a resistor diffuses onto that site it remains localized for a finite period of time. When a distribution of traps based on the defect density of a-Si:H i...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2011