93 citations · 283 across the 9 of their papers we have counts for
9 papers
Neural Lumped Parameter Differential Equations with Application in Friction-Stir Processing
James Koch, WoongJo Choi, Ethan King +5
Lumped parameter methods aim to simplify the evolution of spatially-extended or continuous physical systems to that of a "lumped" element representative of the physical scales of t…
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…
Structural Inference of Networked Dynamical Systems with Universal Differential Equations
James Koch, Zhao Chen, Aaron Tuor +2
Networked dynamical systems are common throughout science in engineering; e.g., biological networks, reaction networks, power systems, and the like. For many such systems, nonlinea…
Data-Driven Surrogates of Rotating Detonation Engine Physics with Neural ODEs and High-Speed Camera Footage
James Koch
Interacting multi-scale physics present in the Rotating Detonation Engine lead to diverse nonlinear dynamical behavior, including combustion wave mode-locking, modulation, and bifu…
Data-driven Modeling of Rotating Detonation Waves
Ariana Mendible, James Koch, Henning Lange +2
The direct monitoring of a rotating detonation engine (RDE) combustion chamber has enabled the observation of combustion front dynamics that are composed of a number of co- and/or…
Modeling Thermodynamic Trends of Rotating Detonation Engines
James Koch, J. Nathan Kutz
The formation of a number of co- and counter-rotating coherent combustion wave fronts is the hallmark feature of the Rotating Detonation Engine (RDE). The engineering implications…
Multi-scale Physics of Rotating Detonation Engines: Autosolitons and Modulational Instabilities
James Koch, Mitsuru Kurosaka, Carl Knowlen +1
We develop a theoretical framework that predicts and fully characterizes the diverse experimental observations of the nonlinear, combustion wave propagation in a rotating detonatio…
Learning dominant physical processes with data-driven balance models
Jared L. Callaham, James V. Koch, Bingni W. Brunton +2
Throughout the history of science, physics-based modeling has relied on judiciously approximating observed dynamics as a balance between a few dominant processes. However, this tra…
Mode-Locked Rotating Detonation Waves: Experiments and a Model Equation
James Koch, Mitsuru Kurosaka, Carl Knowlen +1
Direct observation of a Rotating Detonation Engine combustion chamber has enabled the extraction of the kinematics of its detonation waves. These records exhibit a rich set of inst…