Commit 3f27e3e2 authored by Janis Jatnieks's avatar Janis Jatnieks
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Update README.md

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# Intro
Surrogate playground is an automated machine learning
framework (a kind of auto ML) written for rapidly
screening a large number of different ML models
to serve as surrogates for a slow runnig simulator.
Surrogate playground is an automated machine learning ramework (a kind of auto ML) written for rapidly
screening a large number of different ML models to serve as surrogates for a slow runnig simulator.
This was written for a reactive transport application where
a fluid flow model (hydrodynamics) is coupled to a
geochemistry simulator (reactions in time and space)
to simulate scenarios such as underground storage of CO2 or
hydrogen storage for storing excess energy from wind farms
underground. The challange for such appliactions is that
hydrogen storage for excess energy from wind farms. The challange for such appliactions is that
geochemistry simulators are quite slow copared to fluid
dynamics and constitute the main bottleneck for producing
highly detaled simulations of such application scenarios.
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