Cam Key
Ph.D. FinalOct 12, 2020, 10:00 am - 12:00 pm
Virtual (Zoom)
IMPROVEMENTS IN COMPUTATIONAL ELECTROMAGNETICS SOLVER EFFICIENCY: THEORETICAL AND DATA-DRIVEN APPROACHES TO ACCELERATE FULL-WAVE AND RAY-BASED METHODS
Abstract: Simulation plays an ever-increasing role in modern electrical engineering design. However, the computational electromagnetics solvers on which these simulations rely are often inefficient. For simulations requiring high accuracy, full-wave techniques like finite element method and method of moments dominate, yet existing practices for these techniques frequently allocate degrees of freedom sub-optimally, yielding longer solve times than necessary for a given accuracy. For larger-scale simulations, frequency-asymptotic methods like shooting-bouncing ray tracing dominate, yet existing algorithms suffer from incomplete parallelizability and are consequently unable to take full advantage of modern massively parallel computing resources. We present several approaches, both theoretical and empirical, to address these efficiency problems.
Adviser: Branislav Notaros
Co-Adviser: NA
Non-ECE Member: Donald Estep, Statistics
Member 3: Ali Pezeshki
Addional Members: Milan Ilic
Co-Adviser: NA
Non-ECE Member: Donald Estep, Statistics
Member 3: Ali Pezeshki
Addional Members: Milan Ilic
Publications:
1. C. Key and B. Notaroš, “Data-Enabled Advancement of Computation in Engineering: A Robust Machine Learning Approach to Accelerating Variational Methods in Electromagnetics and Other Disciplines,” IEEE Antennas and Wireless Propagation Letters, in print.
2. C. Key, B. Troksa, S. Kasdorf, and B. Notaros, “Non-Self-Adjacent Ray Classes for Parallelizable Shooting Bouncing Ray Tracing Double Count Removal,” IEEE Journal on Multiscale and Multiphysics Computational Techniques, in review.
3. C. Key, A. Smull, D. Estep, T. Butler, and B. Notaroš, “A Posteriori Error Estimation and Adaptive Discretization Refinement Using Adjoint Methods in CEM: A Study with a One-Dimensional Higher-Order FEM Scattering Example,” IEEE Transactions on Antennas and Propagations, in print.
4. C. Key, A. Smull, B. M. Notaroš, D. Estep, and T. Butler, “Adjoint Methods for Uncertainty Quantification in Applied Computational Electromagnetics: FEM Scattering Examples,” Applied Computational Electromagnetics Society Journal, Vol. 34, No. 2, 2019.
5. C. Key, J. Harmon, B. Notaroš, “Discrete Surface Ricci Flow for General Surface Meshing in Computational Electromagnetics Using Iterative Adaptive Refinement,” IEEE Transactions on Antennas and Propagations, in review.
6. B. A. Troksa, C. L. Key, F. B. Kunkel, S. V. Savić, M. M. Ilic, B. M. Notaroš, “Ray Tracing Using Shooting-Bouncing Technique to Model Mine Tunnels: Theory and Verification for a PEC Waveguide,” Applied Computational Electromagnetics Society Journal, Vol. 34, No. 2, 2019.
7. S. Kasdorf, B. Troksa, C. Key, J. Harmon, and B. Notaroš, “Advancing Accuracy of Shooting and Bouncing Rays Method for Ray-Tracing Propagation Modeling on Novel Approaches to Ray Cone Angle Calculation,” IEEE Transactions on Antennas and Propagation, in review.
8. J. Harmon, C. Key, D. Estep, T. Butler, and B. Notaros, “Adjoint-based Accelerated Adaptive Refinement in Frequency Domain 3-D Finite Element Method Scattering Problems,” IEEE Transactions on Antennas and Propagation, in review.
1. C. Key and B. Notaroš, “Data-Enabled Advancement of Computation in Engineering: A Robust Machine Learning Approach to Accelerating Variational Methods in Electromagnetics and Other Disciplines,” IEEE Antennas and Wireless Propagation Letters, in print.
2. C. Key, B. Troksa, S. Kasdorf, and B. Notaros, “Non-Self-Adjacent Ray Classes for Parallelizable Shooting Bouncing Ray Tracing Double Count Removal,” IEEE Journal on Multiscale and Multiphysics Computational Techniques, in review.
3. C. Key, A. Smull, D. Estep, T. Butler, and B. Notaroš, “A Posteriori Error Estimation and Adaptive Discretization Refinement Using Adjoint Methods in CEM: A Study with a One-Dimensional Higher-Order FEM Scattering Example,” IEEE Transactions on Antennas and Propagations, in print.
4. C. Key, A. Smull, B. M. Notaroš, D. Estep, and T. Butler, “Adjoint Methods for Uncertainty Quantification in Applied Computational Electromagnetics: FEM Scattering Examples,” Applied Computational Electromagnetics Society Journal, Vol. 34, No. 2, 2019.
5. C. Key, J. Harmon, B. Notaroš, “Discrete Surface Ricci Flow for General Surface Meshing in Computational Electromagnetics Using Iterative Adaptive Refinement,” IEEE Transactions on Antennas and Propagations, in review.
6. B. A. Troksa, C. L. Key, F. B. Kunkel, S. V. Savić, M. M. Ilic, B. M. Notaroš, “Ray Tracing Using Shooting-Bouncing Technique to Model Mine Tunnels: Theory and Verification for a PEC Waveguide,” Applied Computational Electromagnetics Society Journal, Vol. 34, No. 2, 2019.
7. S. Kasdorf, B. Troksa, C. Key, J. Harmon, and B. Notaroš, “Advancing Accuracy of Shooting and Bouncing Rays Method for Ray-Tracing Propagation Modeling on Novel Approaches to Ray Cone Angle Calculation,” IEEE Transactions on Antennas and Propagation, in review.
8. J. Harmon, C. Key, D. Estep, T. Butler, and B. Notaros, “Adjoint-based Accelerated Adaptive Refinement in Frequency Domain 3-D Finite Element Method Scattering Problems,” IEEE Transactions on Antennas and Propagation, in review.
Program of Study:
CIVE607
ECE540
MATH633
ENGR550
MATH510
MATH560
MATH580b5
ECE551
CIVE607
ECE540
MATH633
ENGR550
MATH510
MATH560
MATH580b5
ECE551