Scaling up the complexity of photonic integrated circuits (PICs) requires the individual photonic components to become more compact, more efficient and more tolerant against manufacturing defects or variations, and for the design process to become more capable and less complex. Inverse design methods are a novel solution that allow the designer to directly specify performance targets and manufacturing constraints. The method can then automatically find optimal structures that fulfill the specified criteria.
In this webinar hosted by the OSA Optoelectronics Technical Group, James Pond and Jens Niegemann will present two complementary inverse design methods:
1) Parametrized geometry optimization, which makes it possible to automatically improve an already existing design with respect to performance and robustness.
2) Topology optimization, which enables the automatic generation of high-performance devices with a small footprint without the need for an initial design idea. It requires minimal human input and often converges on unintuitive but highly efficient structures.
The webinar will discuss the basic theory behind these inverse design methods and will demonstrate how to generate high-performance and easily manufacturable devices.
What You Will Learn:
• The basic theory behind inverse design methods
• How to use inverse design in practice
• How to enforce size constraints to ensure manufacturability
• How to extend the inverse design methods to generate robust designs that are optimally insensitive to manufacturing imperfections
Who Should Attend:
• PhD students, research scientists and engineers working in university, government laboratories or designing commercial applications
• Anyone wanting to learn more about the inverse design methods including topology optimization