activity
20212026
most citedFloquet stability of oscillating boundary layers on adiabatic slopes

5 citations · 8 across the 5 of their papers we have counts for

collaborators

6 papers

cs.LG2026

Hybrid Latent-Structural Fusion (HLSF) for Cyber Anomaly Detection

Dorianis M. Perez, Maksim E. Eren, Bryan E. Kaiser

Malicious anomalous activity detection is a fundamental challenge for cyber security systems. Both tensor decomposition under statistical framework with CANDECOMP-PARAFAC alternati…

cs.LG2026

The High Explosives and Affected Targets (HEAT) Dataset

Bryan Kaiser, Kyle Hickmann, Sharmistha Chakrabarti +6

Artificial Intelligence (AI) surrogate models provide a computationally efficient alternative to full-physics simulations, but no public datasets currently exist for training and v…

cs.AI2024

A Moonshot for AI Oracles in the Sciences

Bryan Kaiser, Tailin Wu, Maike Sonnewald +2

Nobel laureate Philip Anderson and Elihu Abrahams once stated that, "even if machines did contribute to normal science, we see no mechanism by which they could create a Kuhnian rev…

physics.flu-dyn2021★ 5 cited

Floquet stability of oscillating boundary layers on adiabatic slopes

Bryan Kaiser, Lawrence Pratt

The presence of a no-slip, impermeable, adiabatic, sloped boundary in an otherwise quiescent, stably stratified, Boussinesq flow generates baroclinic vorticity within a diffusive b…

physics.flu-dyn2021

Direct numerical simulation of low Reynolds number oscillating boundary layers on adiabatic slopes

Bryan Kaiser, Lawrence Pratt, Jörn Callies

We investigate the instabilities and transition mechanisms of Boussinesq stratified boundary layers on sloping boundaries when subjected to oscillatory body forcing parallel to the…

cs.LG2021★ 3 cited

Objective discovery of dominant dynamical processes with intelligible machine learning

Bryan E. Kaiser, Juan A. Saenz, Maike Sonnewald +1

The advent of big data has vast potential for discovery in natural phenomena ranging from climate science to medicine, but overwhelming complexity stymies insight. Existing theory…