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Workthrough by Johannes Wasmer of tutorial. Davis David. How to Write Configuration Files in Your Machine Learning Project. Medium. 2020.

Course HDSLEE Introduction and Fundamentals of Machine Learning

Release version of a Java based GUI for case creation and SolutionMonitor for containmentFoam

Repository containing utilities for creating documentations.

SPEX documentation

A collection of shell scripts and small python programms to help with the KKRnano program.

Release version of containmentFOAM, a pressure based multi-species solver based on OpenFOAM-6. Its model library includes relevant physical and technical models for analysis transport processes inside confined domains like a containment.

Electron Microscopy Python Reconstruction, developed at the PGI-5 / ER-C - https://empyre.iffgit.fz-juelich.de/empyre/

Workthrough of aiida-kkr tutorials at https://aiida-kkr.readthedocs.io

Electron Microscopy Python Reconstruction, developed at the PGI-5 / ER-C - https://empyre.iffgit.fz-juelich.de/empyre/

Electron transport calculation code based on the real-space finite-difference formalism within the framework of the density functional theory

Nodes to be shared in IAS-1

aiida-kkr-ml: Development of a surrogate machine learning model for the acceleration of density functional calculations with the Korringa-Kohn-Rostoker method

Python script that reads a metadata text file, creates a SampleDB entry, and uploads files if desired.