MaterialsAtlas Dataset

MP-ALOE

Name: MP-ALOE
Published: 2026-06-13T19:14:45.744810+00:00
License: See record

r2scanenergy-forcesmlipmaterials-projectdatasetsmaterials-dataresearch-grade

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MP-ALOE is a research-grade r2scan energy / force dataset focused on r2SCAN-quality Materials Project-derived data for universal machine-learning interatomic potentials and atomistic model benchmarking. It is useful for graduate-level materials research, reproducible benchmarking, model training, validation, and comparison across computational, experimental, or characterization workflows.

Citation: MP-ALOE. Materials dataset resource. https://figshare.com/articles/dataset/MP-ALOE_An_r2SCAN_dataset_for_universal_machine_learning_interatomic_potentials/29452190

Acknowledgement: Curated by MaterialsAtlas Open Resources from public data portals, official project pages, benchmark suites, repositories, and publication-linked archives.

TypeDataset

DomainMaterials trajectory dataset

LicenseSee record

Contributorsfigshare.com