To improve the efficacy of the evolutionary process while maintaining high accuracy, we apply a quantitative structure property relationship (QSPR) model that relates molecular structure descriptors calculated at the semi-empirical level to experimentally determined pKa values.
The method is able to simulate drops with different viscosities and close interactions, automatically controlling the time step size and maintaining high accuracy also when substantial drop deformation appears.
The comparisons can be concluded that the TMM can be used instead of the conventional numerical methods maintaining high accuracy for wind induced vibration analysis of wind turbine towers.
Stability analysis demonstrates that the proposed method is effective in stabilizing and controlling numerical instabilities of computational modes arising in wave propagation problems with physical damping and artificial smoothing terms while maintaining higher accuracy for the physical modes.
Image quality improvement was assessed by measuring the accuracy of the reconstructed phantom and patient images.The Pareto optimization yielded a set of parameters with an average run time of 26 seconds for scatter correction while maintaining high accuracy of scatter estimation.
In this paper, an adaptive scheme is presented, which aims at developing different reduced models to address the changing conditions of the flow simulation, thereby maintaining high accuracy throughout the simulation with relatively simple chemistry models.
We mainly investigated the conservation property of the L1-norm, energy, entropy and phase space area for each scheme, and demonstrated that the IDO-CF scheme is capable of performing stable long time scale simulation while maintaining high accuracy.
The added nonlinear filter step on the high order centered entropy conservative spatial base scheme is only utilized at isolated computational regions, while maintaining high accuracy almost everywhere for long time integration of unsteady flows and DNS and LES of turbulence computations.
Compared with the existing approaches, our system has a significantly reduced complexity in classification stage while maintaining high accuracy.
While the asymptotic complexity remains the same, the number of EEM matrices that need to be solved is reduced by at least 50%% compared to EEM Cutoff, while maintaining high accuracy.
