- Research using Akselos’ RB-FEA method awarded best paper by American Institute of Aeronautics and Aerospace
- Authored by ODEN Institute Director Karen Willcox, Akselos CTO David Knezevic and MIT rising star Michael Kapteyn, the paper is titled: ‘Toward predictive digital twins via component-based reduced-order models and interpretable machine learning’
Our modern world is screaming for a revolution in aircraft design. Low carbon skies, safer, supersonic travel and interplanetary exploration all require innovation that will render the aircraft we see around us today almost unrecognisable.
In an effort to realise that innovation, we’ve been working with The ODEN Institute for Computational Engineering and MIT, on research that combines physics-based digital twins with interpretable machine learning. The research is truly disruptive, and will accelerate the deployment of game changing, intelligent fleets that are fit for the 21st century and beyond.
The American Institute of Aeronautics and Aerospace (AIAA) clearly agrees, having recognized the research as the most innovative paper at the aerospace industry’s most prestigious conference. Akselos’ engineering team contributed to the research, which accelerates the use of engineering simulation for the operation of critical assets by over a decade.
The results are astonishing: smart airframes that can re-assess their max G rating using sensor data ‘in-flight’, make autonomous decisions and complete the mission with an optimal flight path.
Read the research that received the ‘best paper’ award in the Multidisciplinary Design Optimization category.