MixingLab

Biophysical and technological fluid mixing at the University of Rochester
116 & 112 Hopeman Engineering Building

ABOVE:
WELCOME! Ariane joins the team fall 2026.
PUBLISHED: Our paper “Robust MR-AIV: Robustness Improvement with an Anatomically Informed Permeability Initialization and Sensitivity Analysis of MR-AIV” will appear in J. R. Soc. Interface. Our paper MR-AIV reveals in vivo brain-wide fluid flow with physics-informed AI has been published in Sci. Adv. and featured by U of R. Our paper Quantifying cerebrospinal fluid flow in pial perivascular spaces of rats has been published in Fluids Barr. CNS.

Fluid mixing is both beautiful and devilishly difficult to understand, predict, or control. We study how fluid flows and the materials they carry change over space and time, primarily with application to cerebrospinal fluid flow in the brain and to liquid metals technologies.

Douglas H. Kelley Kimberly Boster Yisen Guo Kevin Wagner Xinyu Si Yasser Abdelshafy Keelin Quirk Karthik Ramakrishnan Aditya Ranjan Athena Summers Mohammad Vaezi Amir Zeraatkardevin Brandon Scortino He Shen Aaron Tran Ariane Yedidia
People Publications Research YouTube ME 240 ME 444
U of R shield We are grateful for support from the Gordon and Betty Moore Foundation. We are grateful for support from the National Science Foundation. We are grateful for support from the National Institutes of Health.