Lectures π#
Welcome to our lecture series!
FDTD 101#
FDTD 101 is an introduction to the Finite-Difference Time-Domain Method for Electromagnetics. We will walk you through the basics of setting up and running electromagnetic simulations using the FDTD method. Through this course, you will gain a knowledge of the fundamental concepts behind electromagnetic simulation as well as many advanced topics worth considering when you set up your simulations.
Lecture 1: Introduction to FDTD Simulation
Lecture 2: Using FDTD to Compute a Transmission Spectrum
Lecture 3: Applying FDTD to Photonic Crystal Slab Simulation
Lecture 4: Prelude to Integrated Photonics Simulation: Mode Injection
Lecture 5: Modeling dispersive material in FDTD
Lecture 6: Introduction to perfectly matched layer (PML)
Lecture 7: Time step size and CFL condition in FDTD
Lecture 8: Numerical dispersion in FDTD
Inverse design in photonics#
Adjoint optimization is a powerful tool that has gained significant attention in the photonics community. It leverages the adjoint method, a mathematical technique used to calculate gradients or derivatives of performance metrics with respect to design parameters. This method is particularly useful in photonics, where devices often have a large number of design parameters and complex performance metrics. This course is designed to provide a comprehensive understanding of the principles and applications of adjoint optimization in the field of photonics.
Lecture 1: Introduction to Inverse Design In Photonics
Lecture 3: Adjoint Optimization
Lecture 4: Fabrication Constraints
Lecture 6: Level Set Parameterization
More lectures coming soon!