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Spice dipeptides partial relaxation (#428)
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submissions/2025-02-26-SPICE-Dipeptides-Partial-Relaxation-Dataset-v4.0/README.md
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# SPICE Dipeptides Partial Relaxation Dataset v4.0 | ||
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## Description | ||
A dataset containing all entries of the `Dipeptides` subset of the SPICE dataset, | ||
optimized for until the energy converges within 1e-4 Ha, at the OpenFF default level of theory (B3LYP-D3BJ/DZVP). | ||
Detailed description on how the original dataset is generated can be found at https://github.com/openmm/spice-dataset/tree/main/dipeptides. | ||
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## General information | ||
* Name: SPICE Dipeptides Partial Relaxation Dataset v4.0 | ||
* Number of unique molecules: 677 | ||
* Number of conformers: 33850 | ||
* Number of conformers (min, mean, max): 50.00, 50.00, 50.00 | ||
* Molecular weight (min, mean, max): 187.20, 313.73, 445.52 | ||
* Charges: -2.0 -1.0 0.0 1.0 2.0 | ||
* Dataset submitter: Alexandra McIsaac | ||
* Dataset generator: Alexandra McIsaac | ||
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## QCSubmit generation pipeline | ||
* `generate-dataset.ipynb`: Notebook used to generate dataset | ||
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## QCSubmit Manifest | ||
* `dataset.json.bz2`: Compressed dataset ready for submission | ||
* `dataset.pdf`: Visualization of dataset molecules | ||
* `dataset.smi`: Smiles strings for dataset molecules | ||
* `generate-dataset.ipynb`: Notebook used to generate dataset | ||
* `input_environment.yaml`: Environment file used to create Python environment for the notebook | ||
* `input_environment_full.yaml`: Fully-resolved environment used to execute the notebook. | ||
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## Metadata | ||
* Elements: {O, S, H, N, C} | ||
* Spec: default | ||
* basis: DZVP | ||
* implicit_solvent: None | ||
* keywords: {} | ||
* maxiter: 200 | ||
* method: B3LYP-D3BJ | ||
* program: psi4 | ||
* SCF properties: | ||
* dipole | ||
* quadrupole | ||
* wiberg_lowdin_indices | ||
* mayer_indices | ||
* GeometricProcedure | ||
* program: geometric | ||
* coordsys: dlc | ||
* enforce: 0.0 | ||
* epsilon: 1e-05 | ||
* reset: True | ||
* qccnv: False | ||
* molcnv: False | ||
* check: 0 | ||
* trust: 0.1 | ||
* tmax: 0.3 | ||
* maxiter: 300 | ||
* convergence_set: CUSTOM | ||
* constraints: {} | ||
* converge: ['energy', '1e-4', 'grms', '1', 'gmax', '1', 'drms', '1', 'dmax', '1'] |
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