3. Innovation challenges
The challenges of innovation in numerical modeling and simulation are numerous: the examples proposed in this dossier highlight some of them, such as the convergence and complementarity between equation-based (model-driven simulations) and data-based (data-driven simulations) simulations. What follows are a few examples of innovations in numerical simulation, on the one hand evoking some that help improve models, and, on the other, showing how simulation benefits or enables innovations in various applications of numerical techniques.
3.1 Improving numerical simulations
The improvement of numerical models is an ongoing process, driven both by user demands and by the results of research undertaken in various disciplines (applied mathematics, modeling, computer...
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Innovation challenges
Bibliography
Directory
Manufacturers – suppliers – distributors (non-exhaustive list)
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Scientific journals
Communications in Nonlinear Science and Numerical Simulation
https://www.sciencedirect.com/journal/communications-in-nonlinear-science-and-numerical-simulation
Computers & Fluids
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