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.

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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.

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Getting Started

Clone the Repository

To clone this repository, run: ```bash git clone https://github.com/ebylaska/HeteroFAM.git cd HeteroFAM