five

colabfit/MP-ALOE

收藏
Hugging Face2026-04-13 更新2026-04-26 收录
下载链接:
https://hf-mirror.com/datasets/colabfit/MP-ALOE
下载链接
链接失效反馈
官方服务:
资源简介:
--- configs: - config_name: default data_files: "co/*.parquet" - config_name: info data_files: "ds.parquet" license: cc-by-4.0 tags: - molecular dynamics - mlip - interatomic potential pretty_name: MP-ALOE --- ### <details><summary>Cite this dataset </summary>Kuner, M. C., Kaplan, A. D., Persson, K. A., Asta, M., and Chrzan, D. C. _MP-ALOE_. ColabFit, 2025. https://doi.org/None</details> #### This dataset has been curated and formatted for the ColabFit Exchange #### This dataset is also available on the ColabFit Exchange: https://materials.colabfit.org/id/DS_k14lrwu6r2mo_0 #### Visit the ColabFit Exchange to search additional datasets by author, description, element content and more. https://materials.colabfit.org <br><hr> # Dataset Name MP-ALOE ### Description MP-ALOE is a dataset of nearly 1 million DFT calculations computed with the r2SCAN meta-generalized gradient approximation, covering 89 elements. The dataset was constructed using active learning via Query by Committee (QBC) and downsampling via the DIRECT method, and primarily consists of off-equilibrium structures. Initial structures were generated by elemental substitution into prototype structures from the ICSD and Materials Project databases (restricted to 2-8 atoms and up to ternary compositions). QBC used an ensemble of interatomic potentials (initially MACE-MP-0, CHGNet, and M3GNet, followed by iteratively trained MACE models) to select structures with energy uncertainty exceeding 100 meV/atom, force uncertainty exceeding 100 meV/Å, or stress uncertainty exceeding 100 meV/ų. DIRECT downsampling reduced approximately 500,000 selected structures to approximately 125,000 for DFT calculation. Near-equilibrium structures from the Materials Project (up to 3 elements, up to 32 atoms, approximately 30,000 structures) were recalculated with identical DFT settings. A two-stage VASP workflow was applied: an initial static calculation using PBE, followed by r2SCAN relaxation for three ionic steps. In total, 909,792 frames from 303,264 structure relaxations are included. DFT calculations used projector-augmented wave (PAW) potentials, a 680 eV plane-wave cutoff, and KSPACING=0.2, with additional parameters from the MP24RelaxSet in pymatgen. Calculations were managed by the atomate2 workflow package. ### Dataset authors Matthew C. Kuner, Aaron D. Kaplan, Kristin A. Persson, Mark Asta, Daryl C. Chrzan ### Publication https://doi.org/10.1038/s41524-025-01834-9 ### Original data link https://figshare.com/articles/dataset/MP_ALOE_An_r2SCAN_dataset_for_universal_machine_learning_interatomic_potentials/29452190 ### License CC-BY-4.0 ### Number of unique molecular configurations 909789 ### Number of atoms 5891262 ### Elements included Ac, Ag, Al, Ar, As, Au, B, Ba, Be, Bi, Br, C, Ca, Cd, Ce, Cl, Co, Cr, Cs, Cu, Dy, Er, Eu, F, Fe, Ga, Gd, Ge, H, He, Hf, Hg, Ho, I, In, Ir, K, Kr, La, Li, Lu, Mg, Mn, Mo, N, Na, Nb, Nd, Ne, Ni, Np, O, Os, P, Pa, Pb, Pd, Pm, Pr, Pt, Pu, Rb, Re, Rh, Ru, S, Sb, Sc, Se, Si, Sm, Sn, Sr, Ta, Tb, Tc, Te, Th, Ti, Tl, Tm, U, V, W, Xe, Y, Yb, Zn, Zr ### Properties included energy, atomic forces, electronic band gap, cauchy stress <br> <hr> # Usage - `ds.parquet` : Aggregated dataset information. - `co/` directory: Configuration rows each include a structure, calculated properties, and metadata. - `cs/` directory : Configuration sets are subsets of configurations grouped by some common characteristic. If `cs/` does not exist, no configurations sets have been defined for this dataset. - `cs_co_map/` directory : The mapping of configurations to configuration sets (if defined). <br> #### ColabFit Exchange documentation includes descriptions of content and example code for parsing parquet files: - [Parquet parsing: example code](https://materials.colabfit.org/docs/how_to_use_parquet) - [Dataset info schema](https://materials.colabfit.org/docs/dataset_schema) - [Configuration schema](https://materials.colabfit.org/docs/configuration_schema) - [Configuration set schema](https://materials.colabfit.org/docs/configuration_set_schema) - [Configuration set to configuration mapping schema](https://materials.colabfit.org/docs/cs_co_mapping_schema)
提供机构:
colabfit
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作