A Data-Driven Sparse-Learning Approach to Model Reduction in Chemical Reaction Networks

Farshad Harirchi, Omar A. Khalil, Sijia Liu +3

In this paper, we propose an optimization-based sparse learning approach to identify the set of most influential reactions in a chemical reaction network. This reduced set of react…