Christoph Ortner

Research Code

I implement most algorithms I develop into Julia packages. These codes are slowly developing into a useful set of molecular simulation packages with Python ase bindings via ASE.jl. Once packages become "useful", I normally register then in the domain-specific JuliaMolSim registry:

Main Packages

Some Experimental Codes

See my github page for more.

Intro to Julia for Numerical Analysts

I collected some Julia example/tutorial notebooks that I wrote to teach myself Julia. They are intended primarily as a rapid introduction to Julia for numerical analysts, mostly from the point of view of differential equations, and most useful for somebody familiar with Matlab. For more details see the github repository.

  1. Finite Difference Method

  2. Finite Element Method

  3. Spectral Method

  4. Lennard-Jones MD