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07/05/2023
Conditional Korhunen-Loéve regression model with Basis Adaptation for high-dimensional problems: uncertainty quantification and inverse modeling
We propose a methodology for improving the accuracy of surrogate models ...
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01/26/2023
Gaussian process regression and conditional Karhunen-Loéve models for data assimilation in inverse problems
We present a model inversion algorithm, CKLEMAP, for data assimilation a...
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07/30/2021
Physics-Informed Machine Learning Method for Large-Scale Data Assimilation Problems
We develop a physics-informed machine learning approach for large-scale ...
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11/01/2018
AMPS: A Real-time Mesh Cutting Algorithm for Surgical Simulations
We present the AMPS algorithm, a finite element solution method that com...
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06/09/2017