We show how we create simulation models using a combination of a mathematical model of a fish-like robot using caudal fin propulsion, a propulsion model, and an optimizer, to explore the impact of centra under various scenarios.
In order to predict the paths and intensities of future storms, GMAO scientists must create simulations — computer models of storms that, for lack of infinite processing power, must make compromises in terms of accuracy.
Using mathematical modeling, researchers created simulations of seahorse biomechanics, which showed that the long head and horsey neck allow the seahorse to reach for prey faster and farther than its ancestor, the descriptively named pipefish, could do.
He reckons that scientists only understand about 5% of the processes involved in drug-cell interaction well enough to model them, create simulations and predict drug behaviour.
These reusable components form a resource that is available for creating customized simulation models.
SIMOP (SIMulation for OPtimization) is an application that automatically creates FORTRAN simulation models for the stochastic optimizers MSGA and MSIMPSA.
While developing models is one step of creating an exhaustive simulation, controlling model parameters is even more important to ensure the results test the desired properties.
We believe that the social sciences have important questions that should be added to that agenda and those questions may not be answered only by big data techniques but they may require creating models and simulations in the style of the best hypothesis-driven research.
The extraction of a three-dimensional (3D) morphology of the human vocal tract (VT) from magnetic resonance imaging (MRI) during sustained phonation can be used for various analyses like numerical simulations or creating physical models.
The Python interface to STEPS was found to play an important role in almost all aspects of creating models, running test simulations and building additional features, including reliable support for SBML.
In order to empower risk assessors in their work predictive modelling software tools can provide valuable support, for example, by creating situation-specific models and running simulations for different contamination scenarios.
