11 citations · 16 across the 4 of their papers we have counts for
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math.OC2017★ 2 cited
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…
math.OC2017
A New Data-Driven Sparse-Learning Approach to Study Chemical Reaction Networks
Farshad Harirchi, Doohyun Kim, Omar A. Khalil +4
Chemical kinetic mechanisms can be represented by sets of elementary reactions that are easily translated into mathematical terms using physicochemical relationships. The schematic…