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Intro 👋

My name is Tyler W Hughes. I'm a research scientist specializing in computational physics.

In late 2019, I completed my PhD in applied physics from Stanford University working in the group of Professor Shanhui Fan. Here I worked on many projects in photonics, including laser-driven particle accelerators on a chip, optical machine learning hardware, and computational inverse design.

Since then I have been developing technology for fast, large scale electromagnetic simulations at Flexcompute Inc..

For more information on my projects, check out my personal website or my google scholar profile

Tyler Hughes's Projects

accelerator-control icon accelerator-control

:boom: Algorithms on a mesh of optical interferometers for control of laser-driven accelerators on a chip

adjoint-workshop icon adjoint-workshop

Gentle introduction and demo of the adjoint variable method for electromagnetic inverse design

asciichart icon asciichart

Nice-looking lightweight console ASCII line charts ╭┈╯ for NodeJS and browsers with no dependencies

autograd icon autograd

Efficiently computes derivatives of numpy code.

dla icon dla

Diffusion Limited Aggregation in Javacsript

fdfd_suite icon fdfd_suite

This repository contains Matlab programs that can efficiently perform a comprehensive list of 2D electromagnetic simulations based on the finite difference frequency domain (FDFD) technique

fdtd_matlab icon fdtd_matlab

FDTD algorithm for MATLAB with animation and movie saving

fdtdpy icon fdtdpy

Electromagnetic FDTD algorithm in python.

genetic_algorithm icon genetic_algorithm

Genetic algorithm to evolve a bit string to represent a specific numeric value.

ncrfpp icon ncrfpp

NCRF++, an Open-source Neural Sequence Labeling Toolkit. It includes character LSTM/CNN, word LSTM/CNN and softmax/CRF components. (ACL 2018 demo paper)

neural-maxwell icon neural-maxwell

A generative model for computing electromagnetic field solutions

phd_thesis icon phd_thesis

Adjoint-based optimization and inverse design of photonic devices.

pylops icon pylops

PyLops – A Linear-Operator Library for Python

rich icon rich

Rich is a Python library for rich text and beautiful formatting in the terminal.

script_my_workout icon script_my_workout

:running: Programmable workouts from the comfort of your terminal :running:

td-dft icon td-dft

Time-dependent density functional theory post-processing scripts for Quantum Espresso & ce-tddft output files

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