6 citations · 11 across the 14 of their papers we have counts for
5 papers · 1 filter
Modeling wildfire dynamics through a physics-based approach incorporating fuel moisture and landscape heterogeneity
Adrián Navas-Montilla, Cordula Reisch, Pablo Diaz +1
Anthropogenic climate change has increased the probability, severity, and duration of heat waves and droughts, subsequently escalating the risk of wildfires. Mathematical and compu…
Impact of topography and combustion functions on fire front propagation in an advection-diffusion-reaction model for wildfires
Luca Nieding, Cordula Reisch, Dirk Langemann +1
Given the recent increase in wildfires, developing a better understanding of their dynamics is crucial. For this purpose, the advection-diffusion-reaction model has been widely use…
Towards Model Discovery Using Domain Decomposition and PINNs
Tirtho S. Saha, Alexander Heinlein, Cordula Reisch
We enhance machine learning algorithms for learning model parameters in complex systems represented by ordinary differential equations (ODEs) with domain decomposition methods. The…
Rigorous fast signal diffusion limit and convergence rates with the initial layer effect in a competitive chemotaxis system
Cordula Reisch, Bao-Ngoc Tran, Juan Yang
We study a chemotaxis system that includes two competitive prey and one predator species in a two-dimensional domain, where the movement of prey (resp. predators) is driven by chem…
Studying wildfire fronts using advection-diffusion-reaction models
Koondanibha Mitra, Qiyao Peng, Cordula Reisch
In this work, we study the propagation of wildfires using an advection--diffusion--reaction model which also includes convective and radiative heat loss. An existing model is discu…