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06/30/2023
Scalable method for Bayesian experimental design without integrating over posterior distribution
We address the computational efficiency in solving the A-optimal Bayesia...
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02/27/2023
Double-loop quasi-Monte Carlo estimator for nested integration
Nested integration arises when a nonlinear function is applied to an int...
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02/21/2023
Physics-informed Spectral Learning: the Discrete Helmholtz–Hodge Decomposition
In this work, we further develop the Physics-informed Spectral Learning ...
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10/25/2022
Deep nurbs – admissible neural networks
In this study, we propose a new numerical scheme for physics-informed ne...
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12/13/2021
Small-noise approximation for Bayesian optimal experimental design with nuisance uncertainty
Calculating the expected information gain in optimal Bayesian experiment...
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10/07/2021
A spatio-temporal adaptive phase-field fracture method
We present an energy-preserving mechanic formulation for dynamic quasi-b...
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09/22/2021