%0 Journal Article %1 journals/jcphy/GalassiCVI22 %A Galassi, Riccardo Malpica %A Ciottoli, Pietro Paolo %A Valorani, Mauro %A Im, Hong G. %D 2022 %J J. Comput. Phys. %K dblp %P 110875 %T An adaptive time-integration scheme for stiff chemistry based on computational singular perturbation and artificial neural networks. %U http://dblp.uni-trier.de/db/journals/jcphy/jcphy451.html#GalassiCVI22 %V 451

@article{journals/jcphy/GalassiCVI22, added-at = {2022-02-23T00:00:00.000+0100}, author = {Galassi, Riccardo Malpica and Ciottoli, Pietro Paolo and Valorani, Mauro and Im, Hong G.}, biburl = {https://puma.ub.uni-stuttgart.de/bibtex/24aeee7392d4ecb320aa0e3d256e98547/dblp}, ee = {https://doi.org/10.1016/j.jcp.2021.110875}, interhash = {77f7375ad8ac49d9a4a876e8f353bba1}, intrahash = {4aeee7392d4ecb320aa0e3d256e98547}, journal = {J. Comput. Phys.}, keywords = {dblp}, pages = 110875, timestamp = {2022-03-01T06:33:30.000+0100}, title = {An adaptive time-integration scheme for stiff chemistry based on computational singular perturbation and artificial neural networks.}, url = {http://dblp.uni-trier.de/db/journals/jcphy/jcphy451.html#GalassiCVI22}, volume = 451, year = 2022 }