Accelerating engineering design with neural surrogates

Juha Riippi; Alexandre Halbach; Valtteri Lahtinen; Asser Lähdemäki; Andrew Tweedie
Key takeaways - MultiphysicsAI integrates neural surrogate models with conventional multiphysics solvers to accelerate engineering design workflows. - Neural surrogates allow rapid evaluation of large numbers of design configurations at minimal computational cost. - Candidate designs identified by surrogates are verified with full solvers to ensure physical accuracy. - The approach enables exploration of previously inaccessible regions of the design space. - Applications in microspeaker and...