Total Magnetization
2 papers with code • 2 benchmarks • 2 datasets
Benchmarks
These leaderboards are used to track progress in Total Magnetization
| Trend | Dataset | Best Model | Paper | Code | Compare |
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Libraries
Use these libraries to find Total Magnetization models and implementations
OQMD v1.2
OQM9HK
Most implemented papers
Crystal Graph Neural Networks for Data Mining in Materials Science
Tony-Y/cgnn
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Technical report, RIMCS LLC 2019
This paper proposes crystal graph neural networks (CGNNs) that use no bond distances, and introduces a scale-invariant graph coordinator that makes up crystal graphs for the CGNN models to be trained on the dataset based on a theoretical materials database.
OQM9HK: A Large-Scale Graph Dataset for Machine Learning in Materials Science
Tony-Y/cgnn
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Technical report, RIMCS LLC 2022
We introduce a large-scale dataset of quantum-mechanically calculated properties of crystalline materials for graph representation learning that contains approximately 900k entries (OQM9HK).
