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Ryuta Takao

1 paper hereh-index 15 citations1 works total

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author position
  • first author1

Across the 1 of 1 paper where every author was matched, so the position is known.

fields
  • physics.flu-dyn1

identity via Semantic Scholar / OpenAlex

collaborators

1 paper

physics.flu-dyn2025

Fine-tuning physics-informed neural networks for cavity flows using coordinate transformation

Ryuta Takao, Satoshi Ii

Physics-informed neural networks (PINNs) have attracted attention as an alternative approach to solve partial differential equations using a deep neural network (DNN). Their simpli…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.