| --- |
| configs: |
| - config_name: default |
| data_files: "co/*.parquet" |
| - config_name: info |
| data_files: "ds.parquet" |
| license: mit |
| tags: |
| - molecular dynamics |
| - mlip |
| - interatomic potential |
| pretty_name: AIMNet2 |
| --- |
| ### <details><summary>Cite this dataset </summary>Nayal, K. S., Cho, I., Gao, R. N., Zheng, P., and Isayev, O. _AIMNet2_. ColabFit, 2026. 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_skz6qt7fghs8_0 |
| #### Visit the ColabFit Exchange to search additional datasets by author, description, element content and more. |
| https://materials.colabfit.org |
| <br><hr> |
| # Dataset Name |
| AIMNet2 |
| ### Description |
| AIMNet2(2025) is the extended training dataset for the AIMNet2 (second generation atoms-in-molecules network) neural network interatomic potential, curated to improve the model's description of noncovalent interactions (NCIs) including hydrogen bonding, pi-pi stacking, dispersion, sigma-hole, ionic, and electrostatic contacts. The dataset covers neutral and charged closed-shell molecular systems composed of up to 14 non-metal elements (H, B, C, N, O, F, Si, P, S, Cl, As, Se, Br, I) with up to 193 atoms per system. Structures were drawn from three complementary sources: (a) molecular geometries from SPICE v2.0.1 (solvated systems, amino acid-ligand pairs, water clusters) and the CREMP dataset (macrocyclic peptides); (b) small neutral and charged molecules from PubChem sampled via normal mode sampling and metadynamics-guided geometry exploration; (c) dimer geometries assembled from Cambridge Structural Database (CSD) monomers (up to 14 supported elements, fewer than 200 atoms) and pre-optimized with AIMNet2-wB97M-D3(2023) to remove steric clashes while preserving configurational diversity. All quantum chemical calculations used ORCA 6.0.1 with the composite B97-3c DFT functional under restricted Kohn-Sham (RKS) formalism. SCF convergence was enforced with TightSCF and SlowConv; RIJCOSX integral acceleration and DEFGRID2 integration grid were applied throughout. AIMNet2(2025) was initialized from AIMNet2(2023) weights and continually pretrained on this dataset without weight freezing or regularization, using a multi-task loss over energy (w=1.0), forces (w=0.2), and Hirshfeld partial charges (w=0.5). |
| ### Dataset authors |
| Kamal Singh Nayal, Ilkwon Cho, Runtian Nick Gao, Peikun Zheng, Olexandr Isayev |
| ### Publication |
| https://doi.org/10.26434/chemrxiv.15000203/v1 |
| ### Original data link |
| https://doi.org/10.1184/R1/31141138 |
| ### License |
| MIT |
| ### Number of unique molecular configurations |
| 3764666 |
| ### Number of atoms |
| 130288462 |
| ### Elements included |
| As, B, Br, C, Cl, F, H, I, N, O, P, S, Se, Si |
| ### Properties included |
| energy, atomic forces |
| <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) |
|
|
