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<article_title>A meshless method to compute pressure fields | ||
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<journal_title>Measurement Science and | ||
Technology</journal_title> | ||
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Software</journal_title> | ||
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Open Research Software, 4(1), 23. | ||
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toolbox. figshare. | ||
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Accuracy and enhanced algorithms in PIVlab</article_title> | ||
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<journal_title>Journal of Open Research | ||
Software</journal_title> | ||
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Lagrangian three-dimensional particle tracking data</article_title> | ||
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laser and imaging techniques to fluid mechanics</journal_title> | ||
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regression of Lagrangian three-dimensional particle tracking data. | ||
International Symposium on Applications of Laser and Imaging Techniques | ||
to Fluid Mechanics.</unstructured_citation> | ||
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laser and imaging techniques to fluid mechanics</journal_title> | ||
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Mendez, M. (2022). A RANS approach to the Meshless Computation of | ||
Pressure Fields From Image Velocimetry. International Symposium on | ||
Applications of Laser and Imaging Techniques to Fluid | ||
Mechanics.</unstructured_citation> | ||
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incompressible laminar flows</article_title> | ||
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Letters</journal_title> | ||
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(2020). Physics-informed deep learning for incompressible laminar flows. | ||
Theoretical and Applied Mechanics Letters, 10(3). | ||
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<article_title>From Noisy Particle Tracks to Velocity, | ||
Acceleration and Pressure Fields using B-splines and | ||
Penalties</article_title> | ||
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<journal_title>International symposium on applications of | ||
laser techniques to fluid mechanics</journal_title> | ||
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Acceleration and Pressure Fields using B-splines and Penalties. | ||
International Symposium on Applications of Laser Techniques to Fluid | ||
Mechanics.</unstructured_citation> | ||
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<article_title>Pressure estimation from single-snapshot | ||
tomographic PIV in a turbulent boundary layer</article_title> | ||
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<journal_title>Experiments in Fluids</journal_title> | ||
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<unstructured_citation>Schneiders, J. F. G., Pröbsting, S., | ||
Dwight, R. P., Oudheusden, B. W. van, & Scarano, F. (2016). Pressure | ||
estimation from single-snapshot tomographic PIV in a turbulent boundary | ||
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<article_title>Reconstructing velocity and pressure from | ||
noisy sparse particle tracks using constrained cost | ||
minimization</article_title> | ||
<author>Agarwal</author> | ||
<journal_title>Experiments in Fluids</journal_title> | ||
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<doi>10.1007/s00348-021-03172-0</doi> | ||
<cYear>2021</cYear> | ||
<unstructured_citation>Agarwal, K., Ram, O., Wang, J., Lu, | ||
Y., & Katz, J. (2021). Reconstructing velocity and pressure from | ||
noisy sparse particle tracks using constrained cost minimization. | ||
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