Tutorials and Tools

Machine Learning in Materials Science	Marco Fronzi	Hands-on introduction to the capabilities of machine learning models for efficient and accurate prediction of material properties.
Intro to Density Functional Theory	Marco Fronzi	This tutorial is intended to provide a practical implementation of Density Functional Theory (DFT) that illustrates the basic principles of DFT. It focuses on the calculations of fundamental quantities essential to DFT.
HPC Parallelism and Scaling Tools	Marco Fronzi	Collection of scripts to estimate code runtime, speedup, and efficiency on high-performance computing platforms.