Recent achievements in the development of a theoretical model for electrostatic precipitation are described. The challenges are the treatment of complex three-dimensional geometries, and the complexity of the physical...
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Recent achievements in the development of a theoretical model for electrostatic precipitation are described. The challenges are the treatment of complex three-dimensional geometries, and the complexity of the physical effects together with the multi-disciplinarity of the overall problem. Different computational modules are used for the computation of the electric field, the corona discharge, the ion drift regions and their interaction with the main gas flow. Results are given for current density distributions, secondary flow patterns and the particle distribution. The computational modules are integrated in a domain-decomposition based environment that allows for concurrent engineering and program development.
In the semiclassical regime,solutions to the time-dependent Schrodinger equation for molecular dynamics are highly *** number of grid points required for resolving the oscillations may become very large even for simpl...
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In the semiclassical regime,solutions to the time-dependent Schrodinger equation for molecular dynamics are highly *** number of grid points required for resolving the oscillations may become very large even for simple model problems,making solution on a grid *** methods like Gaussian beams can resolve the oscillations with little effort and yield good approximations when the atomic nuclei are heavy and the potential is ***,when the potential has variations on a small length-scale,quantum phenomena become *** asymptotic methods are less *** two classes of methods perform well in different parameter *** opens for hybrid methods,using Gaussian beams where we can and finite differences where we have *** propose a new method for treating the coupling between the finite difference method and Gaussian *** new method reduces the needed amount of overlap regions considerably compared to previous methods,which improves the efficiency.
The present work explains the statics of self-weight transmission restricted to a long prismatic heap inclined at an angle of repose and symmetrically formed on a rigid base. The closure of polarized principal axes wi...
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The present work explains the statics of self-weight transmission restricted to a long prismatic heap inclined at an angle of repose and symmetrically formed on a rigid base. The closure of polarized principal axes with the mobilized state of stress along the slope surface is employed by imposing the orientation of principal stresses on the equilibrium equations. Comparisons were made with calculations based on the finite element method using an elastic model. Moreover, experiments on sand heaps deposited on a rectangular rigid base were conducted to validate the theoretical study. The measured pressure profile generally agreed well with theoretical results.
With the rapidly increasing amount of molecular biological data available, the computer-based analysis of molecular interactions becomes more and more feasible. Methods for computer-aided molecular docking have to inc...
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With the rapidly increasing amount of molecular biological data available, the computer-based analysis of molecular interactions becomes more and more feasible. Methods for computer-aided molecular docking have to include a reasonably accurate model of energy and must be able to deal with the combinatorial complexity incurred by the molecular flexibility of the docking partners. In both respects, recent years have seen substantial progress.
Pressure distribution in sand heaps is affected by a particular arching action during the formation process. The closure of fixed principal axes successfully links arching criterion to capture the phenomenon of centra...
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Pressure distribution in sand heaps is affected by a particular arching action during the formation process. The closure of fixed principal axes successfully links arching criterion to capture the phenomenon of central stress minimum in conical sand heaps. However, it is insufficient to explain a negligible stress dip observed in planar sand heaps, which are of practical interest to civil engineers because many earthworks are triangular in shape. This study explains the closure of polarized principal axes and the stress distribution formulation, which was found to be agreeable with experimental data. The direction of major compression along a circle traced about the apex might provide a suitable arching criterion in the 2D space of sand heaps.
In this paper we describe a method for near real-time identification of attack behavior and local security policy violations taking place over SSH. A rational is provided for the placement of instrumentation points wi...
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Additive Runge-Kutta methods designed for preserving highly accurate solutions in mixed-precision computation were previously proposed and *** specially designed methods use reduced precision for the implicit computat...
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Additive Runge-Kutta methods designed for preserving highly accurate solutions in mixed-precision computation were previously proposed and *** specially designed methods use reduced precision for the implicit computations and full precision for the explicit *** this work,we analyze the stability properties of these methods and their sensitivity to the low-precision rounding errors,and demonstrate their performance in terms of accuracy and *** develop codes in FORTRAN and Julia to solve nonlinear systems of ODEs and PDEs using the mixed-precision additive Runge-Kutta(MP-ARK)*** convergence,accuracy,and runtime of these methods are *** show that for a given level of accuracy,suitably chosen MP-ARK methods may provide significant reductions in runtime.
Arrays of gate-defined semiconductor quantum dots are among the leading candidates for building scalable quantum processors. High-fidelity initialization, control, and readout of spin qubit registers require exquisite...
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Arrays of gate-defined semiconductor quantum dots are among the leading candidates for building scalable quantum processors. High-fidelity initialization, control, and readout of spin qubit registers require exquisite and targeted control over key Hamiltonian parameters that define the electrostatic environment. However, due to the tight gate pitch, capacitive crosstalk between gates hinders independent tuning of chemical potentials and interdot couplings. While virtual gates offer a practical solution, determining all the required cross-capacitance matrices accurately and efficiently in large quantum dot registers is an open challenge. Here, we establish a modular automated virtualization system (MAViS)—a general and modular framework for autonomously constructing a complete stack of multilayer virtual gates in real time. Our method employs machine learning techniques to rapidly extract features from two-dimensional charge stability diagrams. We then utilize computer vision and regression models to self-consistently determine all relative capacitive couplings necessary for virtualizing plunger and barrier gates in both low- and high-tunnel-coupling regimes. Using MAViS, we successfully demonstrate accurate virtualization of a dense two-dimensional array comprising ten quantum dots defined in a high-quality Ge/SiGe heterostructure. Our work offers an elegant and practical solution for the efficient control of large-scale semiconductor quantum dot systems.
Accurate modelling of black hole binaries is critical to achieve the science goals of gravitational-wave detectors. Modelling such configurations relies strongly on calibration to numerical-relativity (NR) simulations...
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