The major goal of this meering will be to identify the next datasets to submit, and at what priority | Chaya – Torsion drives – For submission immediately Hyesu – Benchmark set (After may meeting) Maat – Nothing now CS – Did we decide on a level of theory for charged mols? HJ – No, that benchmark is planned for after the May meeting CS – Could use our standard level of theory and review results BP – B3LYP-D3DJ method w/ DZVP basis set should be reasonable CS – I’d previously done some charged molecules, and the results weren’t so bad (General) – Current method should be fine for charged mols, though we’ll want to do a more thorough benchmark later
Should we deprioritize 1.2.0 dataset?
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With any additional time, we will cover the normal topics: Get updates from MolSSI Perform manager maintenance if needed Work on QCF integration into relevant code
| JM – Improving naming scheme for training datasets. It’s difficult when one dataset has multiple names. We should have a discussion about how to do this. TG – Is there a way to figure out if a single molecule appears in multiple datasets? BP – This is currently internal data. May be hard to implement support for this. DD – This might be a single JOIN in the backend database. TG, you should submit a feature request to QCFractal repo.
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