modeFRONTIER Application in Biotechnology - Unbiased Guidelines for Driving Rational Enzyme Evolution

Researchers must improve the efficiency of the biocatalyst to make them available for industrial use. A scoring function integrating an empirical approach was used to maximize the predictive capability and control the engineered enzyme performance. modeFRONTIER’s selection of genetic algorithms empowered researchers to mimic natural evolution, thus providing valuable insight when grading the engineered enzyme quality.

Robust Design Optimisation using Linux Networx cluster

This presentation is a robust design example that proves the efficiency of Linux cluster and queuing system combined with the parallel capacities of modeFRONTIER. A problem that would have required months of computations using a single CPU machine, has been solved in three days using a cluster of 64 CPUs.

MyNode Concept NREC's TurboOPT modeFRONTIER’s fast-track custom integration for Turbomachinary Optimization

The presentation proposes the new node: MyNode a concept NREC's TurboOPT ; modeFRONTIER’s fast-track custom integration for Turbomachinary Optimization

Efficient CAE using modeFRONTIER Grid @ Polestar Racing

After studying the influence on lap time for a given circuit using modeFRONTIER Polestar Racing needed to repeat the simulation for all circuits in the TTA championship. By using three computers in managed by the Grid Tool the computational efficiency increased of 181%. Read the details!​

Use of multi-variate data analysis, fast algorithms and grid automation in modeFRONTIER for multi-objective optimization

Performing a system optimization that involves a large number of design variables and computationally expensive analysis is possible but not always practically feasible. As a solution, the optimization process can be made more efficient if the designers can analyze the problem characteristics a priori and use the information to reduce the problem complexity.