DeepONet: a deep-learning-based framework for approximating linear and nonlinear operators

Delighted to convene the inaugural meeting of the research team for the coordinated POTENTIAL project in Cartagena. Our discussions on electromechanics, optimal control, and deep-learning algorithms were exceptionally fruitful, fostering an atmosphere of collaboration and innovation. Excited to witness the promising developments that will emerge as we continue to work together towards our shared objectives.


Grant “Multiphysics-Informed Design of Tunable Smart Materials” PID2022-141957OA-C22 funded by MCIN/AEI/ 10.13039/501100011033  and by ''ERDF A way of making Europe''  

Visit the website of the project www.mutisimo.com/potential