%0 Journal Article %1 journals/jcphy/PenwardenZNK22 %A Penwarden, Michael %A Zhe, Shandian %A Narayan, Akil %A Kirby, Robert M. %D 2022 %J J. Comput. Phys. %K dblp %P 110844 %T Multifidelity modeling for Physics-Informed Neural Networks (PINNs). %U http://dblp.uni-trier.de/db/journals/jcphy/jcphy451.html#PenwardenZNK22 %V 451

@article{journals/jcphy/PenwardenZNK22, added-at = {2022-03-15T00:00:00.000+0100}, author = {Penwarden, Michael and Zhe, Shandian and Narayan, Akil and Kirby, Robert M.}, biburl = {https://www.bibsonomy.org/bibtex/2d68512a65fe670135b35a7a77a67736b/dblp}, ee = {https://doi.org/10.1016/j.jcp.2021.110844}, interhash = {74e29fdb1bae9f23a8b100035ec4e48e}, intrahash = {d68512a65fe670135b35a7a77a67736b}, journal = {J. Comput. Phys.}, keywords = {dblp}, pages = 110844, timestamp = {2024-04-08T17:54:12.000+0200}, title = {Multifidelity modeling for Physics-Informed Neural Networks (PINNs).}, url = {http://dblp.uni-trier.de/db/journals/jcphy/jcphy451.html#PenwardenZNK22}, volume = 451, year = 2022 }