Sentence examples for simulations by combining from inspiring English sources

Here we extend the binomial τ-leap method to lattice KMC simulations by combining it with spatially adaptive coarse-graining.

In this manuscript, we derive a more efficient algorithm for STEM simulations by combining aspects of the multislice and Bloch wave methods.

The aim of this work is to reduce the complexity of patient-specific simulations by combining image analysis, computational fluid dynamics and model order reduction techniques.

Precipitation simulations by combining thermodynamic and mobility databases for Al and Mg alloys with the PanPrecipitation module of Pandat are also demonstrated.

Depending on the domain requirements, the intelligent modeling system extracts the required knowledge from the MIM and uses this first to instantiate submodels and second to construct the multiphysics simulation model by combining all submodels.

This paper describes first steps to create such a machine simulation, by combining and adapting numerous methods.

This paper presents a highly accurate and highly efficient warmup method for sampled cache simulation by combining 'no-state-loss (NSL)' and 'memory reference reuse latency (MRRL)'.

In this context, RAMSAS, a model-based method which supports the reliability analysis of systems through simulation by combining the benefits of popular OMG modeling languages with wide adopted simulation and analysis environments, has been recently proposed.

However, previous researches are generally based on a stand-alone surrogate model, and rarely make efforts to improve the approximation accuracy of the surrogate model to the simulation model sufficiently by combining various methods.

The development mechanism was analyzed through the simulation calculations by combining different material properties modeling and geometries, and the results showed comprehensive consideration of the materials and the packaging design are essential to control the warpage.

Our paper proposes a methodology to construct approximate models for multivariate stochastic dynamic simulations using kriging, by combining ideas from design of experiments and dynamic systems modeling.