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So before you start a post, how might you figure out if it will be understandable for background? That's where my categories come in.

  • General: Those with some background in programming, math, and physics should be able to follow.
  • Prerequisites: I will spell out classes in the beginning that one should have taken in order to understand the physics of the post. For example, in order to understand calculating the orbitals of a hydrogen-like atom, I will assume you analytically solved it in a Quantum Mechanics course. Even if you haven't taken the classes, feel free to still try.
  • Graduate: Advanced Courses are recommended in order to get the most out of the material. That being said, I try to avoid assuming knowledge of vocabulary or notation. I want to bridge the gap between written descriptions of algorithms and full fledged research implementations here.
  • Numerics:Without a specific physics goal. Sometimes I may just want to talk about something programming or numerical method related.
  • Programming:Assorted Julialang topics not to do with numbers.
Title Level Tags
General Audience

Teaching with Code

Intro to Jupyter and Projectile Motion

Computationally Visualizing Crystals Pt. 2

Computationally Visualizing Crystals

Prerequisites Required

The Restricted 3-body Problem

Ground States, Imaginary Time Evolution

Time Evolution Split Operator Method

Phase Transitions

Monte Carlo Ferromagnet

Atomic Orbitals Pt. 2

Atomic Orbitals

Quantum Harmonic Oscillator

Numerics

Root Finding in One Dimension

Runge-Kutta Methods

Monte Carlo Markov Chain

Monte Carlo Calculation of pi

Jacobi Transformation of a Symmetric Matrix

Programming

Gadfly

HDF5 in Julia

Julia with MKL on OSX

Graduate

Winding Number and SSH Model

The Chern Number

1D Spin Chain Values and Vectors

Homology Part 1

1D Spin Chain Prerequisites