zhaonat/eigenwell

Stars
13
Rank 1,512,713 (Top 30 %)
Language
Jupyter Notebook
License
MIT License
Created over 3 years ago
Updated about 3 years ago

zhaonat/eigenwell

zhaonat

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

finite difference based eigensolving for Maxwell's equations and photonic structures

Rigorous-Coupled-Wave-Analysis

modules for semi-analytic fourier series solutions for Maxwell's equations. Includes transfer-matrix-method, plane-wave-expansion-method, and rigorous coupled wave analysis (RCWA).

Jupyter Notebook

cluster_monte_carlo

Exploration of metropolis-hastings (local) and Uli Wolff (cluster) algorithms on the Ising Model

py-maxwell-fd3d

A functional and efficient python implementation of the 3D version of Maxwell's equations

Jupyter Notebook

FDFD_modules

personal set of FDFD codes used for my research. Much of this has been inspired by Yu (Jerry) Shi and Wonseok Shin

Jupyter Notebook

RCWA_Stochastic_Optimizer

Stochastic Optimization with rigorous-coupled-wave-analysis (RCWA)

finite_difference_domain_decomposition

implementation of finite difference frequency domain equations for Maxwell's equations and the exploration of domain decomposition, specifically Schur complements

pythonFDTD

some basic algorithms explored on the Yee Grid in FDTD

Captcha-Breaker-With-CNNs

Collaboration on using CNNs for reading distorted letters common in CAPTCHA systems. Autumn 2017 Stanford CS229 Best Poster in Computer Vision

shanks_born_series_fdfd

fdfd-armadillo

implementation of fdfd in C++

Jupyter Notebook

orbital_dynamics

simulating complex Newtonian dynamics with the Runge-Kutta algorithm

molecular_dynamics

exploration of MD simulations in MATLAB using the Verlet integrator

quantum_monte_carlo

implementation of determinant quantum monte carlo with some numerical enhancements for low temperature

pymatgen_materials_project_api_miner

python code to construct useful atomistic and structural features for machine learning on materials

CS230-Deep-Learning-NLP

CS230 Project in NLP and Deep Learning for Digital News Sentiment Analysis