Sentence examples for simulation approach such from inspiring English sources

Widely used one-dimension (1D) Monte Carlo simulation approach such as SRIM (the Stopping Range of Ions in Matter) 1D approach will fail to predict these distributions when the exchange of ions at boundaries become significant.

Museum DNA may be especially powerful when used in conjunction with a coalescence-based simulation approach such as ABC (Chan et al. 2006).

These challenges can be overcome via advanced turbulent simulation approaches, such as Large Eddy Simulation and multi-phase resolving simulations.

The Lagrangian approach complements the more widely used continuous (or Eulerian) simulation approaches such as STELLA or Environ theory approaches.

Available analyses of biofilm formation typically employed macroscopic differential equations, simulation approaches such as cellular automaton (CA), diffusion limited aggregation (DLA), Monte Carlo simulation, and hybrid model, etc.

Simulation approaches such as computational fluid dynamics (CFD) are increasingly used to model particle behaviour in indoor air and the results interpreted to infer infection risk.

In the recent past detailed particle-based simulation approaches such as the discrete element method (DEM) have become popular in addition to phenomenological models for the design and optimization of operating parameters of screening processes.

The assessment of foam thermal properties was performed using experimental techniques or simulation approaches such as Finite Elements analysis and/or computational fluid dynamics and was, up to now, mainly focused on describing the influence of some average parameters, such as cell size and porosity.

The activation free energies calculated with this new sequential sampling and optimization approach to the QM/MM-MFEP method agree well with results from other simulation approaches such as the umbrella sampling technique with direct QM/MM dynamics sampling, demonstrating the accuracy of the iterative QM/MM-MFEP method.

Simulation approaches such as repeated-sampling and coalescent methods have been widely used in population genetics and conservation biology for decades.

This highlights the need for simulations with sufficiently large system sizes to capture flexibility effects; multi-scale simulations and approaches such as geometric simulation will be needed.