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03/06/2023
Data-driven Modified Nodal Analysis Circuit Solver
This work introduces a novel data-driven modified nodal analysis (MNA) c...
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06/29/2022
An hp-adaptive multi-element stochastic collocation method for surrogate modeling with information re-use
This paper introduces an hp-adaptive multi-element stochastic collocatio...
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07/30/2021
Three-Dimensional Data-Driven Magnetostatic Field Computation using Real-World Measurement Data
This paper presents a practical case study of a data-driven magnetostati...
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08/19/2020
Data-Driven Solvers for Strongly Nonlinear Material Response
This work presents a data-driven magnetostatic finite-element solver tha...
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02/10/2020
Magnetic Field Simulation with Data-Driven Material Modeling
This paper developes a data-driven magnetostatic finite-element (FE) sol...
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12/16/2019
Robust Adaptive Least Squares Polynomial Chaos Expansions in High-Frequency Applications
We present an algorithm for computing sparse, least squares-based polyno...
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03/24/2018
A multilevel Monte Carlo method for high-dimensional uncertainty quantification of low-frequency electromagnetic devices
This work addresses uncertainty quantification of electromagnetic device...
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05/23/2017