Model reduction methods for nuclear emulators

RJ Furnstahl, AJ Garcia, X Zhang - Journal of Physics G: Nuclear …, 2022 - iopscience.iop.org
The field of model order reduction (MOR) is growing in importance due to its ability to extract
the key insights from complex simulations while discarding computationally burdensome …
被引用次数：53 相关文章

Model reduction methods for nuclear emulators

JA Melendez, C Drischler… - Journal of Physics …, 2022 - ui.adsabs.harvard.edu
The field of model order reduction (MOR) is growing in importance due to its ability to extract
the key insights from complex simulations while discarding computationally burdensome …

Model reduction methods for nuclear emulators

JA Melendez, C Drischler, RJ Furnstahl… - Journal of Physics G …, 2022 - par.nsf.gov
The field of model order reduction (MOR) is growing in importance due to its ability to extract
the key insights from complex simulations while discarding computationally burdensome …

Model reduction methods for nuclear emulators

JA Melendez, C Drischler, RJ Furnstahl, AJ Garcia… - J. Phys. G, 2022 - inspirehep.net
The field of model order reduction (MOR) is growing in importance due to its ability to extract
the key insights from complex simulations while discarding computationally burdensome …

Model reduction methods for nuclear emulators

JA Melendez, C Drischler, RJ Furnstahl… - Journal of Physics. G …, 2022 - osti.gov
The field of model order reduction (MOR) is growing in importance due to its ability to extract
the key insights from complex simulations while discarding computationally burdensome …

Model reduction methods for nuclear emulators

JA Melendez, C Drischler, RJ Furnstahl… - arXiv preprint arXiv …, 2022 - arxiv.org
The field of model order reduction (MOR) is growing in importance due to its ability to extract
the key insights from complex simulations while discarding computationally burdensome …