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Enabling Large Scale Multidisciplinary Design Optimization with the Cloud

In this webinar, Professor Joaquim R. R. A. Martins from the University of Michigan’s Aerospace Department shares his perspectives on the promises and challenges of MDO and showcase his lab’s cutting edge work in MDO applied to aircraft design.

Enabling Large Scale Multidisciplinary Design Optimization with the Cloud

Multidisciplinary Design Optimization (MDO) is a powerful approach in design engineering that combines advanced numerical optimization with sophisticated engineering simulation to achieve optimal design configurations faster and more efficiently.

Rescale’s cloud-based engineering platform puts powerful engineering tools and large-scale computation resources, like those required by MDO, at the engineer’s fingertips to empower rapid innovation.

In this webinar, Professor Joaquim R. R. A. Martins from the University of Michigan’s Aerospace Department shares his perspectives on the promises and challenges of MDO and showcase his lab’s cutting edge work in MDO applied to aircraft design.

Eric Muir, Solutions Architect at Rescale, also demonstrates an MDO airfoil analysis leveraging ADFlow CFD-solver and a machine-learning based surrogate aerodynamic model trained and deployed on the Rescale platform.

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