Skip to the content.

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