Nathan Zhao (zhaonat)

zhaonat

Geek Repo

Company:Stanford University

Location:Palo Alto

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Nathan Zhao's repositories

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).

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cluster_monte_carlo

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

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py-maxwell-fd3d

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

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FDFD_modules

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

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RCWA_Stochastic_Optimizer

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

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eigenwell

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

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finite_difference_domain_decomposition

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

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pythonFDTD

some basic algorithms explored on the Yee Grid in FDTD

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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

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fdfd-armadillo

implementation of fdfd in C++

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orbital_dynamics

simulating complex Newtonian dynamics with the Runge-Kutta algorithm

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molecular_dynamics

exploration of MD simulations in MATLAB using the Verlet integrator

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quantum_monte_carlo

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

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CS230-Deep-Learning-NLP

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

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fdfdpy

Pure Python implementation of the finite difference frequency domain (FDFD) method for electromagnetics

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pymatgen_materials_project_api_miner

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

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cs231n_tfR2N2

Building the R2N2 network using tensorflow

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Mantis

Repository for creating a new MOOSE based application - significant changes here are for setting up simulations of multilayer dynamics using the Cahn-Hilliard Model

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pythondata

repo for code published on pythondata.com

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