Sentence examples for using a computational framework from inspiring English sources

This paper presents the concept of using a computational framework for enabling rapid development of parallel adaptive multiphysics application codes.

As a result, our mortality modeling framework accounted for these factors using a computational framework that balanced flexibility with relative ease of implementation for developing premature mortality projections.

To do so, we propose a novel methodology that creates a database of 3,325 virtual adult subjects by using a computational framework that combines multiple variations of cardiac and arterial properties within healthy ranges.

Using a computational framework for MAGE oligo design (MODEST), we first identified perturbation targets of the Escherichia coli genome that included most regulatory and protein coding regions (See Table 1 for details about which genes were targeted).

To deal with this class of problems, we use a computational framework, which is based on stochastic mappings to transform the original deterministic/stochastic problem in a random domain into a stochastic problem in a deterministic domain.

Therefore, we use a computational framework to model the hybrid masonry that uses a typical plasticity model with hardening for the steel components and a nonlocal two-scalar damage model that accounts for tension and compression for the masonry panel.

To facilitate the assessment analysis, our models have been implemented using a computational agent framework for the Distributed Dynamic Decision making (DDD) virtual simulation platform.

In order to get a better understanding of the separation process we have developed a mathematical model using a computational fluid dynamics framework to follow the separation behavior of particles as in a wet high intensity magnetic separator.

We demonstrate the use of a computational framework that integrates physiologically based pharmacokinetic (PBPK) modeling, Bayesian inference, and Markov chain Monte Carlo simulation to obtain a population estimate of environmental chloroform source concentrations consistent with human biomonitoring data.

All the formulations are implemented using a unified computational framework based on automatic differentiation.

The modeling was performed using a flexible computational framework called ThermaKin, which had been developed in our laboratory.