MFNets: data efficient all-at-once learning of multifidelity surrogates as directed networks of information sources
Sign Up to like & getrecommendations! Published in 2021 at "Computational Mechanics"
DOI: 10.1007/s00466-021-02042-0
Abstract: We present an approach for constructing a surrogate from ensembles of information sources of varying cost and accuracy. The multifidelity surrogate encodes connections between information sources as a directed acyclic graph, and is trained via… read more here.
Keywords: information; information sources; multifidelity; data efficient ... See more keywords
Efficient prediction of turbulent flow quantities using a Bayesian hierarchical multifidelity model
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Fluid Mechanics"
DOI: 10.1017/jfm.2023.327
Abstract: Abstract Multifidelity models (MFMs) can be used to construct predictive models for flow quantities of interest (QoIs) over the space of uncertain/design parameters, with the purpose of uncertainty quantification, data fusion and optimization. For numerical… read more here.
Keywords: turbulent; turbulent flow; flow quantities; fidelity ... See more keywords
Multifidelity Information Fusion with Machine Learning: A Case Study of Dopant Formation Energies in Hafnia.
Sign Up to like & getrecommendations! Published in 2019 at "ACS applied materials & interfaces"
DOI: 10.1021/acsami.9b02174
Abstract: Cost versus accuracy trade-offs are frequently encountered in materials science and engineering, where a particular property of interest can be measured/computed at different levels of accuracy or fidelity. Naturally, the most accurate measurement is also… read more here.
Keywords: information; machine learning; fidelity; multifidelity ... See more keywords
Multifidelity Genetic Transfer: An Efficient Framework for Production Optimization
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DOI: 10.2118/205013-pa
Abstract: Production optimization led by computing intelligence can greatly improve oilfield economic effectiveness. However, it is confronted with huge computational challenge because of the expensive black-box objective function and the high-dimensional design variables. Many low-fidelity methods… read more here.
Keywords: production optimization; transfer; fidelity; framework ... See more keywords
Optimization of Information Gain in Multifidelity High-Speed Pressure Predictions
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DOI: 10.2514/1.j059507
Abstract: The objective of multifidelity modeling is to achieve both accurate and efficient predictions by combining high- and low-fidelity models. A flexible approach considering additive, multiplicative, a... read more here.
Keywords: gain multifidelity; information gain; optimization information; multifidelity high ... See more keywords