activity
20182026
most citedOn the prediction of critical heat flux using a physics-informed machine learning-aided framework

182 citations · 442 across the 13 of their papers we have counts for

collaborators
Showing 2019Show all

1 paper · 1 filter

physics.data-an2019★ 182 cited

On the prediction of critical heat flux using a physics-informed machine learning-aided framework

Xingang Zhao, Koroush Shirvan, Robert K. Salko +1

The critical heat flux (CHF) corresponding to the departure from nucleate boiling (DNB) crisis is essential to the design and safety of a two-phase flow boiling system. Despite the…