Surrogate · Chemical & Process
Gaussian Process Regression for Chemical & Process
Apply the gaussian process regression to real chemical & process problems — in the browser, with AI assistance.
GPs model outputs as draws from a distribution over functions, giving both predictions and calibrated uncertainty for expensive simulations.
In chemical & process, teams face challenges like reaction control, mixing efficiency, safety margins. The gaussian process regression directly supports use cases such as reactor modeling, distillation transport, combustion analysis, and PolySim's AI Copilot can recommend settings and catch common setup errors before you run.
Typical Chemical & Process use cases
- Reactor modeling
- Distillation transport
- Combustion analysis
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