1 citations · 1 across the 11 of their papers we have counts for
11 papers
Energy landscape and dissipation of sliding magnetic rotor arrays
Johannes Krotz, Anton Lüders
Magnetically coupled damped rotational degrees of freedom can give rise to tribological loss when excited by a relative sliding motion, linking friction to the dynamics of magnetic…
A Hyperbolic Neural Closure for M1 Radiation Transfer
Bongseok Kim, Jiahao Zhang, Johannes Krotz +3
In radiation transfer simulations, an M1 method achieves substantial computational savings by replacing the full angular transport equation with a low-order moment system. Because…
Generative Monte Carlo Sampling for Constant-Cost Particle Transport
Joseph A. Farmer, Aidan Murray, Johannes Krotz +1
We present Generative Monte Carlo (GMC), a novel paradigm for particle transport simulation that integrates generative artificial intelligence directly into the stochastic solution…
Computer Simulation of Gel Formation in Colloidal Systems of Sticky Rods
Johannes Krotz
We develop and validate a simulation framework for colloidal gelation. We first reproduce the benchmark results of Santos, Campanella, and Carignano for spherical, gel-forming part…
Scatter-Limited Hybrid Monte Carlo, Deterministic Transport with Quasi-Monte Carlo Sampling
Johannes Krotz, Ryan G. McClarren
We present a hybrid method for time-dependent particle transport that combines Monte Carlo (MC) estimation with a deterministic discrete ordinates (\(S_N\)) solve, augmented by qua…
Curvilinear coordinates and curvature in radiative transport
Johannes Krotz, Ryan G. McClarren
We derive a general expression for the streaming term in radiative transport equa- tions and other transport problems when formulated in curvilinear coordinates, emphasizing coordi…
A Dynamic Likelihood Approach to Filtering for Advection-Diffusion Dynamics
Johannes Krotz, Juan M. Restrepo, Jorge Ramirez
A Bayesian data assimilation scheme is formulated for advection-dominated advective and diffusive evolutionary problems, based upon the Dynamic Likelihood (DLF) approach to filteri…
Minimizing effects of the Kalman gain on Posterior covariance Eigenvalues, the characteristic polynomial and symmetric polynomials of Eigenvalues
Johannes Krotz
The Kalman gain is commonly derived as the minimizer of the trace of theposterior covariance. It is known that it also minimizes the determinant of the posterior covariance. I will…
A Hybrid Monte Carlo, Discontinuous Galerkin method for linear kinetic transport equations
Johannes Krotz, Cory D. Hauck, Ryan G. McClarren
We present a hybrid method for time-dependent particle transport problems that combines Monte Carlo (MC) estimation with deterministic solutions based on discrete ordinates. For sp…
Variable resolution Poisson-disk sampling for meshing discrete fracture networks
Johannes Krotz, Matthew R. Sweeney, Jeffrey D. Hyman +2
We present the near-Maximal Algorithm for Poisson-disk Sampling (nMAPS) to generate point distributions for variable resolution Delaunay triangular and tetrahedral meshes in two an…
Maximal Poisson-disk Sampling for Variable Resolution Conforming Delaunay Mesh Generation: Applications for Three-Dimensional Discrete Fracture Networks and the Surrounding Volume
Johannes Krotz, Matthew R. Sweeney, Carl W. Gable +2
We propose a two-stage algorithm for generating Delaunay triangulations in 2D and Delaunay tetrahedra in 3D that employs near maximal Poisson-disk sampling. The method generates a…