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Driver | Jennifer A Clark |
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Approver | Lily Wang |
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Contributors | |
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Other stakeholders | Genetech, Chodera Lab |
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Objective | Provide Chodera lab and Genetech group with QM data necessary for training a machine learned forcefield. |
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Time frame | 12/01/2024 - 12/01/2025 |
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Key outcomes | A dataset that covers: Relevant levels of theory Support for metal centers of interest Coverage of ligand chemical space QM output with properties of interest
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Key metrics | Forcefield goals Dataset Goals: |
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Status | IN PROGRESS |
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GitHub repo | |
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Slack channel | https://openforcefieldgroup.slack.com/archives/C085GQ8BCNB |
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Designated meeting | TM FF Meeting |
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Released datasets | |
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Publication | |
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Must have: | |
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Nice to have: | Dataset with model chemistry overlapping with SPICE (i.e., ωB97M-D3BJ/def2-TZVPPD) and OpenFF (i.e., B3LYP-D3BJ/DZVP) standards. Dataset covering chemical space of secondary interest (in order of importance): Bi- and Tri- metal centers Charged molecules {+3, +2, +1, 0, −1, −2, −3}e Metal centers of secondary interest: Rh, Ir, Pt, Ni, Cr, Ag Better: Make it element agnostic Transition states
QM output with properties such as: atomic spin density, orbital energies, electronic structure of complexes
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Not in scope: | |