Sawant, Nihar, Kramer, Boris, and Peherstorfer, Benjamin. Physics-informed regularization and structure preservation for learning stable reduced models from data with operator inference. Retrieved from https://par.nsf.gov/biblio/10422375. Computer Methods in Applied Mechanics and Engineering 404.C Web. doi:10.1016/j.cma.2022.115836.

Sawant, Nihar, Kramer, Boris, & Peherstorfer, Benjamin. Physics-informed regularization and structure preservation for learning stable reduced models from data with operator inference. Computer Methods in Applied Mechanics and Engineering, 404 (C). Retrieved from https://par.nsf.gov/biblio/10422375. https://doi.org/10.1016/j.cma.2022.115836

Sawant, Nihar, Kramer, Boris, and Peherstorfer, Benjamin. "Physics-informed regularization and structure preservation for learning stable reduced models from data with operator inference". Computer Methods in Applied Mechanics and Engineering 404 (C). Country unknown/Code not available. https://doi.org/10.1016/j.cma.2022.115836. https://par.nsf.gov/biblio/10422375.

@article{osti_10422375,
place = {Country unknown/Code not available}, title = {Physics-informed regularization and structure preservation for learning stable reduced models from data with operator inference}, url = {https://par.nsf.gov/biblio/10422375}, DOI = {10.1016/j.cma.2022.115836}, abstractNote = {}, journal = {Computer Methods in Applied Mechanics and Engineering}, volume = {404}, number = {C}, author = {Sawant, Nihar and Kramer, Boris and Peherstorfer, Benjamin}, }