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
Future-Ready FDTD Workshop#
The Future-Ready FDTD Workshop Series is a collaborative effort between Tidy3D, iOptics, and Optica. The series aims to present a range of workshops focused on FDTD simulations for photonic devices. The workshop sessions took place from February 9th to March 8th, 2024, and covered theoretical foundations of concepts such as the FDTD method, Bragg filters and reflectors, multimode photonic design, photonic crystals, and inverse design. Each session included a live demonstration of setting up and running an FDTD simulation. Additionally, a challenge was proposed to enhance participantsβ skills. Challenge solutions are available upon request through our technical support.
Lecture 1: The FDTD Method Demystified
Lecture 2: Multimode Photonics Design Made Easy
Lecture 3: Designing Filters and Reflectors with Bragg Gratings
Lecture 4: Photonic Crystal Slabs Controlling and Confining Light on the Nanoscale
Lecture 5: Inverse Design in Photonics An Introduction
More lectures coming soon!
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!