The first paper authored by our PhD student, Alberto Pérez Escolar, under the project "Multiphysics-Informed Design of Tunable Smart Materials" has been published in CM. This paper introduces a gradient-enhanced Gaussian process metamodel designed to emulate homogenized nonlinear electromechanical constitutive models. The methodology, implemented entirely using Julia, incorporates principal invariants as inputs for the surrogate internal energy density, thereby enforcing physical constraints such as material frame indifference, symmetry, and stress and electric field-free conditions at the origin. Through numerical examples conducted within a 3D Finite Element framework, including extreme twisting and electrically induced wrinkles, the paper demonstrates the practical applicability and robustness of the proposed approach.
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''
Open access to the paper through the website of the project www.mutisimo.com/mytune
