8 citations · 53 across the 25 of their papers we have counts for
8 papers · 1 filter
RFBniCS: An open-source simulation framework for redox flow batteries
Amirhossein Aghabarari, Jørgen S. Dokken, Martin T. Horsch +2
We present RFBniCS, an open-source finite-element framework implemented in FEniCSx for simulating redox-flow-battery (RFB) half-cells. RFBniCS solves an established macro-homogeneo…
Investigating Forecast Proficiency of Hurricane-Induced Compound Flooding With a Discontinuous Galerkin Shallow Water Equation Solver
Matthew Scarborough, Chayanon Wichitrnithed, Shintaro Bunya +4
Recent severe storms on the U.S. Gulf coast have demonstrated the challenges presented by compound flooding, such as the interactions between rainfall runoff and storm surge. Histo…
Modeling the Hydrodynamics in the Oslofjord using an Advanced Circulation Model
Matthew Scarborough, Kai Håkon Christensen, Albert Cerrone +2
This study introduces a new unstructured computational mesh for hydrodynamic simulations of the Oslofjord. The mesh was created with global bathymetry and shoreline data, using Oce…
HyCOP: Hybrid Composition Operators for Interpretable Learning of PDEs
Jinpai Zhao, Nishant Panda, Yen Ting Lin +3
We introduce HyCOP, a modular framework that learns parametric PDE solution operators by composing simple modules (advection, diffusion, learned closures, boundary handling) in a q…
Wildfires Quasi-Implicit Alternative-Direction Simulations using Isogeometric Finite Element Method
Juliusz Wasieleski, Tomasz Służalec, Maciej Woźniak +7
We develop a wildfire simulation model that evolves the temperature scalar field using an energy balance equation accounting for heat generation, transport, and loss. For these equ…
Collocation-based Robust Physics Informed Neural Networks for time-dependent simulations of pollution propagation under thermal inversion conditions on Spitsbergen
Maciej Sikora, Leszek Siwik, Natalia Leszczyńska +7
In this paper, we propose a Physics-Informed Neural Network framework for time-dependent simulations of pollution propagation originating from moving emission sources. We formulate…
Operator Learning for Predicting Bulk Wave Parameters of Spectral Wave Models
Shukai Cai, Sourav Dutta, Mark Loveland +4
The impact of wave-induced forcing on the mean water level and nearshore currents is typically modeled through excess momentum fluxes, also known as radiation stresses, and their s…
Global Location-Invariant Peak Storm Surge Prediction
Benjamin Pachev, Prateek Arora, Jinpai Zhao +1
Storm surge is a significant threat to coastal communities across the globe, responsible for loss of life and enormous property damage. Consequently, significant efforts have been…