Any computation that you can express as a computational flow graph, you can compute with TensorFlow.
Additionally, a computational flow simulation is used to support the conclusions made from the experimental results.
With customized solvers, computational flow simulations can be used to optimize the design of filtration devices.
This chapter presents the various notations used in the book, "Computational Flow Modeling for Chemical Reactor Engineering".
The overall methodology of achieving the objectives of reactor engineering via computational flow modeling is discussed.
This chapter is an author index to the book, "Computational Flow Modeling for Chemical Reactor Engineering".
The design of the targets were based on computational flow dynamics, ionization mechanism and empirical optimization.
This chapter presents a subject index to the book, "Computational Flow Modeling for Chemical Reactor Engineering".
Some applications of computational flow models for reactor engineering of fluidized bed reactors were then discussed.
The growth conditions were systematically optimized with the help of computational flow-field simulation.
