Download Udemy - ML-Fluid Mechanics Integration for Thermal Flow Predication Torrent

Torrent Contents Size: 1.4 GB

Udemy - ML-Fluid Mechanics Integration for Thermal Flow Predication

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1 - Introduction to ML CFD Integration

1. Overview of computational fluid dynamics (CFD) (Description).html

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1.8 KB

1. Overview of computational fluid dynamics (CFD).mp4

MP4

67.8 MB

2 - Fundamentals of Fluid Mechanics for ML Models

10. Boundary conditions and Richardson number significance (Description).html

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3.6 KB

10. Boundary conditions and Richardson number significance.mp4

MP4

39.9 MB

11. Dimensional analysis in CFD (Description).html

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1.3 KB

11. Dimensional analysis in CFD.mp4

MP4

61 MB

3 - Overview of Machine Learning in Physics Based Systems

12. Data driven vs Physics informed approches (Description).html

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1.3 KB

12. Data driven vs Physics informed approches.mp4

MP4

55.5 MB

13. Neural network architectures for physical systems (Description).html

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2.3 KB

13. Neural network architectures for physical systems.mp4

MP4

41.2 MB

14. Proper orthogonal decomposition (POD) and reduced order models (ROMs) (Description).html

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1.3 KB

14. Proper orthogonal decomposition (POD) and reduced order models (ROMs).mp4

MP4

46.5 MB

15. Embedding physical constraints in ML models (Description).html

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1.3 KB

15. Embedding physical constraints in ML models.mp4

MP4

72.7 MB

16. Case studies turbulence modelling heat transfer prediction (Description).html

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1.3 KB

16. Case studies turbulence modelling heat transfer prediction.mp4

MP4

49.5 MB

4 - Synthetic Data Generation for ML CFD

17. Reduced physics CFD simulations (Description).html

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1.6 KB

17. Reduced physics CFD simulations.mp4

MP4

53.4 MB

18. Dataset design geometries flow regimes boundary diversity (Description).html

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1 KB

18. Dataset design geometries flow regimes boundary diversity.mp4

MP4

65.2 MB

19. Voxelization of geometric inputs (256³ resolution) (Description).html

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1.6 KB

19. Voxelization of geometric inputs (256³ resolution).mp4

MP4

60.7 MB

20. Ensuring physical consistency of synthetic data (Description).html

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1.4 KB

20. Ensuring physical consistency of synthetic data.mp4

MP4

58.5 MB

21. Data augmention strategies and bias mitigation (Description).html

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1.3 KB

21. Data augmention strategies and bias mitigation.mp4

MP4

59.8 MB

22. Statical verification of dataset (Description).html

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1.3 KB

22. Statical verification of dataset.mp4

MP4

59.9 MB

5 - Convolutional Neural Networks for CFD Prediction

23. CNN encoder decoder architectures (Description).html	HTML	1.4 KB
23. CNN encoder decoder architectures.mp4	MP4	33.3 MB
24. Convolution in volumetric data (Description).html	HTML	1.3 KB
24. Convolution in volumetric data.mp4	MP4	51.1 MB
25. Loss functions incorporating physical constraints (Description).html	HTML	1.1 KB
25. Loss functions incorporating physical constraints.mp4	MP4	52.2 MB
26. 504 Training workflows.docx	DOCX	17.4 KB
26. Training workflow (Description).html	HTML	819.2 B
26. Training workflow.mp4	MP4	23.7 MB
27. Hyperparameter optimization (Description).html	HTML	2.9 KB
27. Hyperparameter optimization.mp4	MP4	23.2 MB
28. Avoiding overfitting and promoting generalization (Description).html	HTML	921.6 B
28. Avoiding overfitting and promoting generalization.mp4	MP4	44.6 MB
29. Implementation best practices (Description).html	HTML	1.2 KB
29. Implementation best practices.mp4	MP4	57.2 MB

6. Navier Stokes equations (Description).html

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1.3 KB

6. Navier Stokes equations.mp4

MP4

44.5 MB

7. 202 Conservation laws mass momentum energy.docx

DOCX

16.5 KB

7. Conservation laws mass momentum energy (Description).html

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1 KB

7. Conservation laws mass momentum energy.mp4

MP4

24.5 MB

8. Buoyancy effects and the Boussinesq approximation (Description).html

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1.3 KB

8. Buoyancy effects and the Boussinesq approximation.mp4

MP4

32.5 MB

9. 204 Laminar vs Turbulent regimes.docx

DOCX

18.5 KB

9. Laminar vs Turbulent regimes (Description).html

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819.2 B

9. Laminar vs Turbulent regimes.mp4

MP4

68.9 MB

2. Limitations of traditional CFD methods (Description).html

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1.1 KB

2. Limitations of traditional CFD methods.mp4

MP4

32.4 MB

3. Emergence of machine learning in fluid mechanics (Description).html

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1.2 KB

3. Emergence of machine learning in fluid mechanics.mp4

MP4

49 MB

4. Hybrid modelling motivation (Description).html

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1.1 KB

4. Hybrid modelling motivation.mp4

MP4

43.4 MB

5. Scope and applications in thermal flow prediction (Description).html

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1.2 KB

5. Scope and applications in thermal flow prediction.mp4

MP4

57.2 MB

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Udemy - ML-Fluid Mechanics Integration for Thermal Flow Predication

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