HeteroFAM Project Manual
Welcome to the HeteroFAM Computational Materials and Chemical Sciences Network (CMCSN) project manual. This repository contains information about the project goals, tools, and usage guidelines.
Thrusts Overview
Thrust 1: Machine Learning (ML) Workflows for Moire Materials
Explore ML-driven workflows for discovering new correlated and topological moiré systems. This section provides detailed descriptions of algorithms, datasets, and tools used in this thrust.
Thrust 2: Prototype Development of COVOs-QFLOW for Periodic Materials
Learn about the prototypes developed for studying correlated electron physics and emergent states, including methodologies and experimental setups.
Thrust 3: Phenomenlogical Initialization for Magnetic Structures
Dive into the AI-driven expert system designed for predicting and optimizing spin configurations in transition metal oxides.
Getting Started
Clone the Repository
To clone this repository, run: ```bash git clone https://github.com/ebylaska/HeteroFAM.git cd HeteroFAM