Active-learning-driven surrogate modeling for efficient simulation of parametric nonlinear systems
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Publication:6185211
DOI10.1016/j.cma.2023.116657arXiv2306.06174MaRDI QIDQ6185211
Peter Benner, Harshit Kapadia, Li-Hong Feng
Publication date: 29 January 2024
Published in: Computer Methods in Applied Mechanics and Engineering (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2306.06174
error estimationactive learningshallow neural networksnon-intrusive model order reductionparametric dynamical systemsdata-driven surrogate modeling
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