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Residual-based physics-informed transfer learning: A hybrid method for accelerating long-term CFD simulations via deep learning
In conclusion, our RePIT strategy is a promising technique to reduce the cost of CFD simulations in industry.
Finite volume method network for acceleration of unsteady computational fluid dynamics: non-reacting and reacting flows
Despite rapid improvements in the performance of central processing unit (CPU), the calculation cost of simulating chemically reacting flow using CFD remains infeasible in many cases.
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