Dataset · Hugging Face

FonaTech/E3-miu-GNN

Name: E3-miu-GNN
Creator: FonaTech
License: other
Keywords: task_categories:other, license:other, size_categories:n<1K, format:parquet, modality:tabular, modality:text, library:datasets, library:pandas, library:polars, library:mlcroissant, region:us, atomistic-machine-learning, materials-science, equivariant-neural-networks, interatomic-potentials

Neo Mixed-Granularity Atomistic Dataset Neo is the dataset collection for E3-miu-GNN, an E(3)-equivariant graph neural network developed by Fona Group. This repository hosts the training data. GitHub hosts the model, GUI, training and inference workflows, dataset preparation code, tests, API documentation, and phonon tools. Project status Datasets: canonical Tiny through Large and composite SE, Plus, and Max are materialized with the 2026-07-25 non-OMat24 stress… See the full description on the dataset page: https://huggingface.co/datasets/FonaTech/E3-miu-GNN.

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Author / organization	FonaTech
License (as declared)	other
Downloads	201 (as reported by Hugging Face)
Likes	0
Created	21 July 2026
Last updated at source	27 July 2026

atomistic-machine-learningmaterials-scienceequivariant-neural-networksinteratomic-potentialshdf5omat24stresspiezoelectricitymagnetism

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