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The enhanced computational efficiency and accuracy of spectral methods versus finite difference methods are also described.
In short, application of the DNN model has proven to be adequate to the goal aimed at, with enhanced computational efficiency at the experimental length scale and given insight in the relevance of various physical phenomena and modeling parameters.
CG-MD models are subject to the sampling problems as much as seen in conventional atomistic-MD simulations but more capable of overcoming such problem given the advantage of much enhanced computational efficiency (see our back-to-back paper in this issue).
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To enhance computational efficiency in reliability analysis, metamodeling has been widely adopted for reliability assessment.
Stress correction algorithms are developed at each scale to enhance computational efficiency and accuracy.
Metamodeling techniques have been developed for reliability assessments in order to enhance computational efficiency.
Since its complexity lies in its solution, a decoupling approach is used to simplify the model to enhance computational efficiency.
The Taylor-expansion method is not restricted to the canonical ensemble but may be employed to enhance computational efficiency of MC simulations in other ensembles as well.
To further enhance computational efficiency, a local particle time-stepping algorithm is implemented and a particle time-averaging technique is employed to reduce statistical and bias errors.
Furthermore, as compared with manual methods, this system significantly improves automation in safety monitoring, enhances computational efficiency and increases data accuracy and consistency.
A new formulation for an incremental inverse problem is proposed to enhance computational efficiency of redesign of damped large structural systems.
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