33 citations · 33 across the 3 of their papers we have counts for
3 papers
cs.LG2025
Uncertainty Quantification for Scientific Machine Learning using Sparse Variational Gaussian Process Kolmogorov-Arnold Networks (SVGP KAN)
Y. Sungtaek Ju
Kolmogorov-Arnold Networks have emerged as interpretable alternatives to traditional multi-layer perceptrons. However, standard implementations lack principled uncertainty quantifi…
physics.flu-dyn2020★ 33 cited
Modeling film flows down a fibre influenced by nozzle geometry
Hangjie Ji, Abolfazl Sadeghpour, Y. Sungtaek Ju +1
We study the effects of nozzle geometry on the dynamics of thin fluid films flowing down a vertical cylindrical fibre. Recent experiments show that varying the nozzle diameter can…
physics.flu-dyn2018
Dynamics of thin liquid films on vertical cylindrical fibers
H. Ji, C. Falcon, A. Sadeghpour +3
Recent experiments of thin films flowing down a vertical fiber with varying nozzle diameters present a wealth of new dynamics that illustrate the need for more advanced theory. We…