Codes
As part of my work I often bake delicious code, and I always share my recipes. Here are some of the latest.
Milad is a code I created as part of my research to explore ways to encode atomic environments (or any point clouds) in a rotationally invariant fingerprint that can be decoded back into the original environment (modulo global rotation.) If that sounds like something that’s up your street then check out the paper, here:
AiiDA
a scalable computational infrastructure for automated reproducible workflows and data provenance
I was the principal architect of the workflow engine in AiiDA, a highly-scalable and robust workflow engine for scientific workflows. AiiDA has been used in a large number of scientific works with plugins having been written for a large number of community codes, and best of all it’s FOSS!
Papers: Uhrin et al. (2021), Huber et al. (2020).
DataFrames, pytorch networks, etc) in real time from anywhere in the world.