1. OpenFOAM. https://www.openfoam.com. Accessed 23 Feb 2024
2. Berkooz, G., Holmes, P., Lumley, J.L.: The proper orthogonal decomposition in the analysis of turbulent flows. Annu. Rev. Fluid Mech. 25(1), 539–575 (1993)
3. Bhatt, D., Zhang, B., Zuckerman, D.: Steady-state simulations using weighted ensemble path sampling. J. Chem. Phys. 133(1) (2010)
4. Dörrich, M., Fan, M., Kist, A.M.: Impact of mixed precision techniques on training and inference efficiency of deep neural networks. IEEE Access 11, 57627–57634 (2023)
5. He, X., Sun, J., Chen, H., Li, D.: Campo: Cost-Aware performance optimization for Mixed-Precision neural network training. In: 2022 USENIX Annual Technical Conference (USENIX ATC 22), pp. 505–518. USENIX Association, Carlsbad, CA (2022). https://www.usenix.org/conference/atc22/presentation/he