In the field of integrated photonics, uncertainties in fabricated device geometries as well as environmental parameters can dramatically affect performance and yield. To overcome this challenge, this project has developed approaches that allow simulation-based optimization of designs under uncertainties, resulting in robust designs. We have placed emphasis on combining this concept with metamodeling techniques and adaptive infill sampling strategies, to reduce the total computational effort and allow practical application. In this brief presentation, the general approach is introduced together with an overview of the outcomes of the project.
About Matthijs Langelaar
Matthijs Langelaar received his MSc degree in Mechanical Engineering from Twente University, worked on Robotics at DLR Germany and did his PhD research at Delft University of Technology. His research interest is Design Optimization, specifically Topology Optimization and Optimization under Uncertainty.
Delft University of Technology (TU Delft) is the oldest and largest technical university in the Netherlands, employing more than 2,600 scientific staff members distributed over 8 faculties, and with a student population approaching 20,000 students.