Wikner, Alexander, Pathak, Jaideep, Hunt, Brian, Girvan, Michelle, Arcomano, Troy, Szunyogh, Istvan, Pomerance, Andrew, and Ott, Edward. Combining machine learning with knowledge-based modeling for scalable forecasting and subgrid-scale closure of large, complex, spatiotemporal systems. Retrieved from https://par.nsf.gov/biblio/10286164. Chaos: An Interdisciplinary Journal of Nonlinear Science 30.5 Web. doi:10.1063/5.0005541.

Wikner, Alexander, Pathak, Jaideep, Hunt, Brian, Girvan, Michelle, Arcomano, Troy, Szunyogh, Istvan, Pomerance, Andrew, & Ott, Edward. Combining machine learning with knowledge-based modeling for scalable forecasting and subgrid-scale closure of large, complex, spatiotemporal systems. Chaos: An Interdisciplinary Journal of Nonlinear Science, 30 (5). Retrieved from https://par.nsf.gov/biblio/10286164. https://doi.org/10.1063/5.0005541

Wikner, Alexander, Pathak, Jaideep, Hunt, Brian, Girvan, Michelle, Arcomano, Troy, Szunyogh, Istvan, Pomerance, Andrew, and Ott, Edward. "Combining machine learning with knowledge-based modeling for scalable forecasting and subgrid-scale closure of large, complex, spatiotemporal systems". Chaos: An Interdisciplinary Journal of Nonlinear Science 30 (5). Country unknown/Code not available. https://doi.org/10.1063/5.0005541. https://par.nsf.gov/biblio/10286164.

@article{osti_10286164,
place = {Country unknown/Code not available}, title = {Combining machine learning with knowledge-based modeling for scalable forecasting and subgrid-scale closure of large, complex, spatiotemporal systems}, url = {https://par.nsf.gov/biblio/10286164}, DOI = {10.1063/5.0005541}, abstractNote = {}, journal = {Chaos: An Interdisciplinary Journal of Nonlinear Science}, volume = {30}, number = {5}, author = {Wikner, Alexander and Pathak, Jaideep and Hunt, Brian and Girvan, Michelle and Arcomano, Troy and Szunyogh, Istvan and Pomerance, Andrew and Ott, Edward}, editor = {null} }