A data-driven physics-informed neural network for predicting the viscosity of nanofluids

HIGHLIGHTS

• who: Ilia Chiniforooshan Esfahani and colleagues from the Northeastern University, Huntington Ave, Boston, Massachusetts, USA have published the Article: A data-driven physics-informed neural network for predicting the viscosity of nanofluids, in the Journal: (JOURNAL)
• what: This study reports a novel ML method using a multi-fidelity neural network (MFNN) to accurately predict the viscosity of nanofluids by incorporating the physical laws into the model. The performance of the model was evaluated using statistical error analysis on the dataset obtained by MFNN prediction and actual experimental observations. The aim of this research is to . . .
  

   

  

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