QM Reference Energies, Gradients, Molecular Multipoles with Electrostatic Embedding
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Date
2024-11-29Type
- Dataset
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Data
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Abstract
Dataset of QM reference properties for alanine dipeptide (100'000 datapoints), nickel phosphine complexes (69'375 datapoints), and pyridine and quinoline dimers (71'040 datapoints) solvated in water, benzene, and dichloromethane, respectively. Conformations were generated with Gromos/GFN2-xTB and QM calculations were run with Orca/5.0.3 (alanine dipeptide) and Orca/5.0.4 (nickel phosphine complexes and pyridine and quinoline dimers).
Level of Theory: B2-PLYP/def2-QZVPP(D3BJ) (alanine dipeptide) and wB97M-D4/def2-TZVPP (nickel phosphine complexes, pyridine and quinoline dimers)
All structures also contain energies and gradients on the GFN2-xTB level of theory with electrostatic embedding. Show more
Permanent link
https://doi.org/10.3929/ethz-b-000707814Contributors
Contact person: Riniker, Sereina
Data collector: Pultar, Felix
Data collector: Thürlemann, Moritz
Data collector: Gordiy, Igor
Research group: Riniker, Sereina
Publisher
ETH ZurichSoftware
Conformations were generated with Gromos/GFN2-xTB and QM calculations were run with Orca/5.0.3 (alanine dipeptide) and Orca/5.0.4 (nickel phosphine complexes and pyridine and quinoline dimers).Organisational unit
02020 - Dep. Chemie und Angewandte Biowiss. / Dep. of Chemistry and Applied Biosc.
Funding
212732 - Combining Molecular Dynamics and Machine Learning for Free Energy Calculation with Quantum-Mechanical Accuracy (SNF)
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ETH Bibliography
yes
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