B7*.5
Utilization of Dynamic Basis Functions in Kriging Methodology for Uncertainty Quantification in Finite Element Computation of Electromagnetic Scattering
Christopher Erickson, Stephen Kasdorf, Branislav Notaroš, Colorado State University, United States
Session:
B7*: Advanced Modeling Techniques and Algorithms in Computational Electromagnetics Lecture
Track:
Special Sessions
Location:
Room 1B40
Presentation Time:
Thu, 9 Jan, 11:40 - 12:00 MT (UTC -7)
Session Chair:
Ata Zadehgol, University of Idaho
Presentation
Discussion
Resources
No resources available.
Session B7*
B7*.1: An Algorithm for Converting PCB Via Structure to a Voxelized Mesh for Artificial Intelligence Models
Stephen Newberry, Ata Zadehgol, University of Idaho, United States
B7*.2: Neural Network Prediction of Scattering Parameters Based on Voxel Mesh Representation
Stephen Newberry, Ata Zadehgol, University of Idaho, United States
B7*.3: Investigation of Guided Power Expressions for Symmetric Dielectric Slab Waveguides
Rasul Choupanzadeh, Ata Zadehgol, University of Idaho, United States
B7*.4: An Approach for Obtaining Hours of GIC Predictions from a Single, Short FDTD Simulation having a Time-Step Increment on the Order of ~1 μs
Prashanna Sharma Paneru, Jamesina Simpson, University of Utah, United States; Mark Moldwin, University of Michigan, United States
B7*.5: Utilization of Dynamic Basis Functions in Kriging Methodology for Uncertainty Quantification in Finite Element Computation of Electromagnetic Scattering
Christopher Erickson, Stephen Kasdorf, Branislav Notaroš, Colorado State University, United States
Contacts