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Mechanism Reduction

Reduce a detailed kinetic mechanism to a skeletal Cantera YAML with pyMARS DRGEP / DRG / PFA against ignition-delay and flame-speed targets

Open in the appRun via API

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.

Mechanism Reduction: reservation per run, USD
HardwareTypical runtimeBasicStarterProEnterprise
CPUDefault30 min$0.25$0.14$0.09$0.054

In workflows

Chain it with other steps.

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

Inputs

  • Kinetic mechanism · optionalYAML, CHEMKIN

Outputs

  • ArchiveZIP
  • TableCSV
  • Kinetic mechanismYAML
  • TableCSV

References

The method behind it.

  1. David G Goodwin, Harry K Moffat, Ingmar Schoegl et al. (2023). Cantera: An Object-oriented Software Toolkit for Chemical Kinetics, Thermodynamics, and Transport Processes. Zenodo. doi:10.5281/zenodo.8137090 (opens in a new tab)
  2. Phillip O. Mestas, Parker Clayton, Kyle E. Niemeyer (2019). pyMARS: automatically reducing chemical kinetic models in Python. Journal of Open Source Software. doi:10.21105/joss.01543 (opens in a new tab)
  3. Perrine Pepiot-Desjardins, Heinz Pitsch (2008). An efficient error-propagation-based reduction method for large chemical kinetic mechanisms. Combustion and Flame. doi:10.1016/j.combustflame.2007.10.020 (opens in a new tab)
  4. Kyle E. Niemeyer, Chih-Jen Sung, Mandhapati P. Raju (2010). Skeletal mechanism generation for surrogate fuels using directed relation graph with error propagation and sensitivity analysis. Combustion and Flame. doi:10.1016/j.combustflame.2009.12.022 (opens in a new tab)
  5. Wenting Sun, Zheng Chen, Xiaolong Gou et al. (2010). A path flux analysis method for the reduction of detailed chemical kinetic mechanisms. Combustion and Flame. doi:10.1016/j.combustflame.2010.03.006 (opens in a new tab)
  6. Tianfeng Lu, Chung K. Law (2005). A directed relation graph method for mechanism reduction. Proceedings of the Combustion Institute. doi:10.1016/j.proci.2004.08.145 (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": "mechanism-reduce", "resource": "cpu", "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": "mechanism-reduce-1", "job_type": "mechanism-reduce", "resource": "cpu", "payload": { ... }}'
Payload fields and examples in the docs

Fluids & Thermodynamics

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