A LightGBM classifier trained on experimental data is converted into a multinomial logistic regression that supplies stochastic yet physically consistent outcomes for binary droplet collisions in spray simulations.
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Data-driven Learning of Probabilistic Model of Binary Droplet Collision for Spray Simulation
A LightGBM classifier trained on experimental data is converted into a multinomial logistic regression that supplies stochastic yet physically consistent outcomes for binary droplet collisions in spray simulations.