Python wrapper for multiple sphere T-matrix (MSTM) code and Mie theory to calculate surface plasmon resonance (SPR) spectrum and fit it to experiment

Free and open-source code package designed to perform PyMEEP FDTD simulations applied to Plasmonics (UBA+CONICET) [Buenos Aires, Argentina]

Mode solver for 1D waveguides composed of arbitrary number of slabs (layers). Vector solver: TE & TM polarizations. Supports complex-valued refractive index (plasmonic modes)

MatLab thin film reflection, transmission, absorption calculator based on transfer matrix method. Includes ability to plot dispersion for arbitrary number of films and wavelength-dependent complex dielectric functions.

Computes the optical properties (transmission, absorption, reflexion) of a multilayer system (dielectric or metallic layers), and the resulting 3D temperature distribution due to absorption. https://aip.scitation.org/doi/10.1063/5.0057185

Calculate plasma frequency, plot the relation ω(β) and how permittivity changes as a function of frequency using MATLAB and MATLAB App Designer

Modeled the electric field intensity inside an n-layer SPR sensor.

Scripts to compute field enhancements of plasmonic nanostrucutres, mirrored from https://gitlab.com/theoretical-chemistry-jena/quantum-dynamics/plasmonic-meep/

Example codes for photonic simulations, mostly in the mid-IR region (2 um-20 um), using various open source packages.

Repository for codes and design files related to an automated reflectometer. This project is made available in an open-source way and can be replicated.

Jupyter implementations of various features in the `misloc_package`, predicting mispolarization and mislocalization in plasmon-enhanced single-molecule imaging.

Python implementation of Mie theory to compute electromagnetic fields in the near and far zones along with self-consistency tests in Jupyter Notebooks.

The code for the work presented in the research paper titled "Inverse Design of Octagonal Plasmonic Structure for Switching Using Deep Learning"

The code for the work presented in the research paper titled "Nanophotonic Structure Inverse Design for Switching Application Using Deep Learning"