Computational Fluid Mechanics And Heat Transfer

By Vanessa Hertzog. 2016

879 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/eac2fbcc33565b933bf4038c6b303f4b1b3c0d22

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. C. Ooi
2. Yew-Soon Ong
3. J. Anderson
4. Pao-Hsiung Chiu
5. My Ha Dao
6. Jian Cheng Wong
7. Ferrante Neri
8. Yaochu Jin

Citations in the corpus

• CAN-PINN: A Fast Physics-Informed Neural Network Based on Coupled-Automatic-Numerical Differentiation Method (2021, methodology): “For training these PINN models, one can also numerically compute the differential operators, such as via the central difference or finite volume method [50].”
• Hypersonic and High-Temperature Gas Dynamics (2019, background): “These equations, as they appear in [134], are displayed next (see also [224]).”