11 citations · 14 across the 4 of their papers we have counts for
5 papers
First Contact: Data-driven Friction-Stir Process Control
James Koch, Ethan King, WoongJo Choi +4
This study validates the use of Neural Lumped Parameter Differential Equations for open-loop setpoint control of the plunge sequence in Friction Stir Processing (FSP). The approach…
Coarse graining and reduced order models for plume ejection dynamics
Ike Griss Salas, Megan R. Ebers, Jake Stevens-Haas +1
Monitoring the atmospheric dispersion of pollutants is increasingly critical for environmental impact assessments. High-fidelity computational models are often employed to simulate…
Leveraging arbitrary mobile sensor trajectories with shallow recurrent decoder networks for full-state reconstruction
Megan R. Ebers, Jan P. Williams, Katherine M. Steele +1
Sensing is one of the most fundamental tasks for the monitoring, forecasting and control of complex, spatio-temporal systems. In many applications, a limited number of sensors are…
Universal Dynamics of Damped-Driven Systems: The Logistic Map as a Normal Form for Energy Balance
J. Nathan Kutz, Aminur Rahman, Megan R. Ebers +2
Damped-driven systems are ubiquitous in engineering and science. Despite the diversity of physical processes observed in a broad range of applications, the underlying instabilities…
Discrepancy Modeling Framework: Learning missing physics, modeling systematic residuals, and disambiguating between deterministic and random effects
Megan R. Ebers, Katherine M. Steele, J. Nathan Kutz
Physics-based and first-principles models pervade the engineering and physical sciences, allowing for the ability to model the dynamics of complex systems with a prescribed accurac…