Ma, Zhan, and Pan, Wenxiao. Data-driven nonintrusive reduced order modeling for dynamical systems with moving boundaries using Gaussian process regression. Retrieved from https://par.nsf.gov/biblio/10199418. Computer Methods in Applied Mechanics and Engineering 373.C Web. doi:10.1016/j.cma.2020.113495.

Ma, Zhan, & Pan, Wenxiao. Data-driven nonintrusive reduced order modeling for dynamical systems with moving boundaries using Gaussian process regression. Computer Methods in Applied Mechanics and Engineering, 373 (C). Retrieved from https://par.nsf.gov/biblio/10199418. https://doi.org/10.1016/j.cma.2020.113495

Ma, Zhan, and Pan, Wenxiao. "Data-driven nonintrusive reduced order modeling for dynamical systems with moving boundaries using Gaussian process regression". Computer Methods in Applied Mechanics and Engineering 373 (C). Country unknown/Code not available. https://doi.org/10.1016/j.cma.2020.113495. https://par.nsf.gov/biblio/10199418.

@article{osti_10199418,
place = {Country unknown/Code not available}, title = {Data-driven nonintrusive reduced order modeling for dynamical systems with moving boundaries using Gaussian process regression}, url = {https://par.nsf.gov/biblio/10199418}, DOI = {10.1016/j.cma.2020.113495}, abstractNote = {}, journal = {Computer Methods in Applied Mechanics and Engineering}, volume = {373}, number = {C}, author = {Ma, Zhan and Pan, Wenxiao}, editor = {null} }