Shashank Yellapantula

Engineering

1. Reacting Flow 100%
2. Wind Loading 93%
3. Heliostats 80%
4. Adaptive Mesh Refinement 76%
5. Parabolic Trough 75%
6. Equations of State 74%
7. Combustor 57%
8. Concentrated Solar Power 56%
9. Fuel Injection 56%
10. Supercritical Carbon Dioxide 55%
11. Reinforcement Learning 44%
12. Ignition 44%
13. Direct Numerical Simulation 43%
14. Compressed Air Motors 42%
15. Methane 39%
16. Parabolic Trough Collector 39%
17. Solar Collector 38%
18. Oxycombustion 37%
19. Structural Load 37%
20. Aviation Fuels 35%
21. Flamelets 35%
22. Electric Power Plant 34%
23. Turbine 32%
24. Solar Thermal 31%
25. Premixed Turbulent Flame 30%
26. Parabolic Trough Solar Collector 30%
27. Computational Fluid Dynamics 30%
28. Flow Solver 29%
29. Power Generation 29%
30. Deep Learning Method 28%
31. Principal Components 27%
32. Autoignition 26%
33. Dissipation Rate 26%
34. Optical Performance 26%
35. Deep Neural Network 25%
36. Component Analysis 25%
37. High Resolution 25%
38. Field Measurement 24%
39. Network Model 24%
40. Flow Distribution 24%
41. Combustion Chamber 24%
42. Boundary Layer 22%
43. Direct-Injection 22%
44. Internal Combustion Engine 22%
45. Numerical Study 22%
46. Learning System 22%
47. Aleatoric Uncertainty 22%
48. Epistemic Uncertainty 22%
49. Critical Point 20%
50. Functional Form 20%