8 citations · 53 across the 25 of their papers we have counts for
26 papers
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…
GPU-acceleration of the Discontinuous Galerkin Shallow Water Equations Model (DG-SWEM) with OpenACC
Chayanon Wichitrnithed, Eirik Valseth, Ethan J. Kubatko +2
This paper presents a porting of {DG-SWEM}, a first-order discontinuous Galerkin solver for storm surge based on the Advanced Circulation Model (ADCIRC), to NVIDIA GPUs. Time-expli…
Coupled Continuous-Discontinuous Galerkin Finite Element Solver for Compound Flood Simulations
Chayanon Wichitrnithed, Eirik Valseth, Shintaro Bunya +2
Several recent tropical cyclones, e.g., Hurricane Harvey (2017), have lead to significant rainfall and resulting runoff. When the runoff interacts with storm surge, the resulting f…
Storm Surge in Color: RGB-Encoded Physics-Aware Deep Learning for Storm Surge Forecasting
Jinpai Zhao, Albert Cerrone, Eirik Valseth +2
Storm surge forecasting plays a crucial role in coastal disaster preparedness, yet existing machine learning approaches often suffer from limited spatial resolution, reliance on co…
Potential Effects of Loading Terminal Locations on Surface Trajectories of Oil Spill Transport
Shoshana Reich, Edward Buskey, Clint Dawson +1
We present an investigation comparing the potential impacts of offshore and onshore crude oil loading sites on surface trajectories of spilled oil particles in the regions near the…
Efficacy of reduced order source terms for a coupled wave-circulation model in the Gulf of Mexico
Mark Loveland, Jessica Meixner, Eirik Valseth +1
During hurricanes, coupled wave-circulation models are critical tools for public safety. The standard approach is to use a high fidelity circulation model coupled with a wave model…
WAVEx: Stabilized Finite Elements for Spectral Wind Wave Models Using FEniCSx
Mark Loveland, Eirik Valseth, Jessica Meixner +1
The prediction of the wind wave spectrum of the ocean using numerical models are an important tool for researchers, engineers, and communities living in coastal areas. The governin…
A Discontinuous Galerkin Finite Element Model for Compound Flood Simulations
Chayanon Wichitrnithed, Eirik Valseth, Ethan J. Kubatko +3
Recent tropical cyclones, e.g., Hurricane Harvey (2017), have lead to significant rainfall and resulting runoff with accompanying flooding. When the runoff interacts with storm sur…
Cross-mode Stabilized Stochastic Shallow Water Systems Using Stochastic Finite Element Methods
Chen Chen, Clint Dawson, Eirik Valseth
The development of surrogate models to study uncertainties in hydrologic systems requires significant effort in the development of sampling strategies and forward model simulations…
A Framework for Flexible Peak Storm Surge Prediction
Benjamin Pachev, Prateek Arora, Carlos del-Castillo-Negrete +2
Storm surge is a major natural hazard in coastal regions, responsible both for significant property damage and loss of life. Accurate, efficient models of storm surge are needed bo…
Application of a dispersive wave hydro-sediment-morphodynamic model in the Ria Formosa lagoon
Kazbek Kazhyken, Eirik Valseth, Juha Videman +1
Results of an application of a dispersive wave hydro-sediment-morphodynamic model in the western circulation cell of the Ria Formosa lagoon located in the Algarve region of the sou…
Extending FEniCS to Work in Higher Dimensions Using Tensor Product Finite Elements
Mark Loveland, Eirik Valseth, Matt Lukac +1
We present a method to extend the finite element library FEniCS to solve problems with domains in dimensions above three by constructing tensor product finite elements. This method…
A Stable Mixed FE Method for Nearly Incompressible Linear Elastostatics
Eirik Valseth, Albert Romkes, Austin R. Kaul +1
We present a new, stable, mixed finite element (FE) method for linear elastostatics of nearly incompressible solids. The method is the automatic variationally stable FE (AVS-FE) me…
An Adaptive Stable Space-Time FE Method for the Shallow Water Equations
Eirik Valseth, Clint Dawson
We consider the finite element (FE) approximation of the shallow water equations (SWE) by considering discretizations in which both space and time are established using an uncondit…
Automatic Variationally Stable Analysis for Finite Element Computations: Transient Convection-Diffusion Problems
Eirik Valseth, Pouria Behnoudfar, Clint Dawson +1
We establish stable finite element (FE) approximations of convection-diffusion initial boundary value problems using the automatic variationally stable finite element (AVS-FE) meth…
An Unconditionally Stable Space-Time FE Method for the Korteweg-de Vries Equation
Eirik Valseth, Clint Dawson
We introduce an unconditionally stable finite element (FE) method, the automatic variationally stable FE (AVS-FE) method for the numerical analysis of the Korteweg-de Vries (KdV) e…
A Stable FE Method For the Space-Time Solution of the Cahn-Hilliard Equation
Eirik Valseth, Albert Romkes, Austin R. Kaul
In its application to the modeling of a mineral separation process, we propose the numerical analysis of the Cahn-Hilliard equation by employing spacetime discretizations of the au…