Wang, Jian-Xun, Huang, Junji, Duan, Lian, and Xiao, Heng. Prediction of Reynolds stresses in high-Mach-number turbulent boundary layers using physics-informed machine learning. Retrieved from https://par.nsf.gov/biblio/10128595. Theoretical and Computational Fluid Dynamics 33.1 Web. doi:10.1007/s00162-018-0480-2.

Wang, Jian-Xun, Huang, Junji, Duan, Lian, & Xiao, Heng. Prediction of Reynolds stresses in high-Mach-number turbulent boundary layers using physics-informed machine learning. Theoretical and Computational Fluid Dynamics, 33 (1). Retrieved from https://par.nsf.gov/biblio/10128595. https://doi.org/10.1007/s00162-018-0480-2

Wang, Jian-Xun, Huang, Junji, Duan, Lian, and Xiao, Heng. "Prediction of Reynolds stresses in high-Mach-number turbulent boundary layers using physics-informed machine learning". Theoretical and Computational Fluid Dynamics 33 (1). Country unknown/Code not available. https://doi.org/10.1007/s00162-018-0480-2. https://par.nsf.gov/biblio/10128595.

@article{osti_10128595,
place = {Country unknown/Code not available}, title = {Prediction of Reynolds stresses in high-Mach-number turbulent boundary layers using physics-informed machine learning}, url = {https://par.nsf.gov/biblio/10128595}, DOI = {10.1007/s00162-018-0480-2}, abstractNote = {}, journal = {Theoretical and Computational Fluid Dynamics}, volume = {33}, number = {1}, author = {Wang, Jian-Xun and Huang, Junji and Duan, Lian and Xiao, Heng}, }