This is your work, valued

Palo Alto

Nathan Zhao

Advanced
@zhaonat

applied physics PhD from Stanford University, currently working on AI for self driving cars

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).

155

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

32

py-maxwell-fd3d. A functional and efficient python implementation of the 3D version of Maxwell's equations

31

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

21

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

18

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

14

pythonFDTD. some basic algorithms explored on the Yee Grid in FDTD

14

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

13

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

6

shanks_born_series_fdfd. MATLAB

6

molecular_dynamics. exploration of MD simulations in MATLAB using the Verlet integrator

4

fdfd-armadillo. implementation of fdfd in C++

4

orbital_dynamics. simulating complex Newtonian dynamics with the Runge-Kutta algorithm

4

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

2

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

2