Machine Learning (ML) is a modern trend in science. In geochemical modelling, ML is used, for instance, in accelerating reactive transport simulations by training Neural Networks (NN) as a fast surrogate for the direct (but much slower) codes for computing chemical equilibria, such as PHREEQC or GEMS.
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