Density measurements using the Background Oriented Schlieren technique

By L. Venkatakrishnan, G. Meier. 2004

373 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Oceanography, Statistical and Nonlinear Physics

View Paper: https://www.semanticscholar.org/paper/af53c824ccf693570b5686fb53574bcc98ae72bf

How researchers see this paper

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

In Artificial Intelligence

1. Zhicheng Wang
2. Shengze Cai
3. G. Em Karniadakis
4. Maizar Raissi
5. Paris Perdikaris
6. Liu Yang
7. Ameya Dilip Jagtap
8. Yibo Yang

In Oceanography

1. G. Em Karniadakis

In Statistical and Nonlinear Physics

1. Shengze Cai
2. Zhicheng Wang
3. G. Em Karniadakis
4. Frederik Fuest
5. Y. Jeon
6. C. Gray
7. Maizar Raissi
8. Zhiping Mao

Citations in the corpus

• Flow over an espresso cup: inferring 3-D velocity and pressure fields from tomographic background oriented Schlieren via physics-informed neural networks (2021, background): “In addition to the refractive index and the density, temperature field or other quantities can be further inferred by analyzing the BOS images (Tokgoz et al. 2012).”