Machine Learning And Its Application To Reacting Flows Ml And Combustion - Springer Nature B.V

This Open Access Book Introduces And Explains Machine Learning (ml) Algorithms And Techniques Developed For Statistical Inferences On A Complex Process Or System And Their Applications To Simulations Of Chemically Reacting Turbulent Flows.these Two Fields, Ml And Turbulent Combustion, Have Large Body Of Work And Knowledge On Their Own, And This Book Brings Them Together And Explain The Complexities And Challenges Involved In Applying Ml Techniques To Simulate And Study Reacting Flows. This Is Important As To The World''s Total Primary Energy Supply (tpes), Since More Than 90 Of This Supply Is Through Combustion Technologies And The Non-negligible Effects Of Combustion On Environment. Although Alternative Technologies Based On Renewable Energies Are Coming Up, Their Shares For The Tpes Is Are Less Than 5 Currently And One Needs A Complete Paradigm Shift To Replace Combustion Sources.