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The development of a purely phenomenological modelling approach is desirable to obtain more universally applicable breakage models and reduce the need for extensive experiential-based parameter identification.
According to the Commission, the framework will boost recycling and prevent the loss of valuable materials; create jobs, economic growth and new business models; and reduce greenhouse gas emissions.
We report numerical tests that validate the accuracy of the models, and reduce the calculation time.
The purpose is to take advantages of efficient models and reduce the overall computational cost without loss of local precision.
Virtual screening, an in-silico method, is used to refine data models and reduce the chemical space on which wet lab experiments need to be performed.
The proposed algorithms approximate the nonlinear systems by uncertain linear models and reduce online the computational demands in the control implementation.
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In terms of these computational models and reduced dimensions, mathematical formulations describing physical phenomena within fuel cells are developed.
The focus of the research work being discussed in this article is the systems engineering of PEMFC with the help of both detailed models and reduced order models.
For model-based estimators, methods for evaluating quality of fit of the models and reducing the computational intensity were also investigated.
Anti-TNFα reduced paw swelling in both models, and reduced ankle BMD loss in AIA rats.
This has certainly introduced additional errors into the models and reduced their performance.
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