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QC Conformer Ranking & Descriptors

Rank conformer ensembles by DFT free energy in solution, with Boltzmann populations and frontier-orbital descriptors

Hardware and price

Price per run

What a typical run reserves from your wallet: the catalog's expected runtime on each piece of hardware × your plan's per-second rate. Larger inputs reserve more, and you're charged only for the seconds the job actually runs.

QC Conformer Ranking & Descriptors: reservation per run, USD
HardwareTypical runtimeBasicStarterProEnterprise
CPU1 h$0.50$0.29$0.18$0.11
Nvidia T410 min$0.34$0.25$0.20$0.15
Nvidia L410 min$0.47$0.34$0.26$0.20
Nvidia A10Default10 min$0.64$0.46$0.37$0.28
Nvidia L40S10 min$1.14$0.82$0.65$0.49
Nvidia A100, 40 GB10 min$1.22$0.88$0.70$0.53
Nvidia A100, 80 GB10 min$1.46$1.04$0.83$0.62
Nvidia H10010 min$2.30$1.64$1.31$0.99
Nvidia H20010 min$2.65$1.89$1.51$1.13
Nvidia B20010 min$3.65$2.60$2.08$1.57

In workflows

Chain it with other steps.

Each input and output has a data kind, so the builder only connects steps that fit.

Inputs

  • Molecules (list)SDF, MOLBLOCK
  • Table · optionalCSV

Outputs

  • ArchiveZIP
  • MoleculesSDF
  • TableCSV
  • TableCSV

References

The method behind it.

  1. Aleksandr V. Marenich, Christopher J. Cramer, Donald G. Truhlar (2009). Universal Solvation Model Based on Solute Electron Density and on a Continuum Model of the Solvent Defined by the Bulk Dielectric Constant and Atomic Surface Tensions. The Journal of Physical Chemistry B. doi:10.1021/jp810292n (opens in a new tab)
  2. Stefan Grimme, Andreas Hansen, Sebastian Ehlert et al. (2021). r2SCAN-3c: A “Swiss army knife” composite electronic-structure method. The Journal of Chemical Physics. doi:10.1063/5.0040021 (opens in a new tab)
  3. Narbe Mardirossian, Martin Head-Gordon (2016). ωB97M-V: A combinatorially optimized, range-separated hybrid, meta-GGA density functional with VV10 nonlocal correlation. The Journal of Chemical Physics. doi:10.1063/1.4952647 (opens in a new tab)
  4. Stefan Grimme, Fabian Bohle, Andreas Hansen et al. (2021). Efficient Quantum Chemical Calculation of Structure Ensembles and Free Energies for Nonrigid Molecules. The Journal of Physical Chemistry A. doi:10.1021/acs.jpca.1c00971 (opens in a new tab)
  5. Stefan Grimme (2012). Supramolecular Binding Thermodynamics by Dispersion‐Corrected Density Functional Theory. Chemistry – A European Journal. doi:10.1002/chem.201200497 (opens in a new tab)

Run via API

Submit it from your own code.

Use an API key from your account. The estimate uses your plan's rates; submitting reserves that amount from your wallet.

# Estimate the reservation for your plan (payload fields: see the API reference)
curl -X POST https://api.cognichem.com/api/v1/jobs/estimate \
  -H "X-Api-Key: $COGNICHEM_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"job_type": "qc-ensemble-rank", "resource": "a10", "payload": {}}'

# Submit (retrying with the same Idempotency-Key never submits twice)
curl -X POST https://api.cognichem.com/api/v1/jobs/submit \
  -H "X-Api-Key: $COGNICHEM_API_KEY" \
  -H "Idempotency-Key: $(uuidgen)" \
  -H "Content-Type: application/json" \
  -d '{"job_name": "qc-ensemble-rank-1", "job_type": "qc-ensemble-rank", "resource": "a10", "payload": { ... }}'
Payload fields and examples in the docs

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