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Physics-Informed Neural Networks for Fluid Dynamics Simulation in Biofabrication Chips

Ai Biofabrication

AI-Driven Microfluidic Chip Design for Biofabrication

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Ai Biofabrication › AI-Driven Microfluidic Chip Design for Biofabrication

Physics-Informed Neural Networks for Fluid Dynamics Simulation in Biofabrication Chips

This research develops physics-informed neural networks (PINNs) that integrate Navier-Stokes equations with microfluidic experimental data for accelerated computational modeling. The contribution produces scientifically validated surrogate models that significantly reduce simulation time while maintaining high accuracy for complex multiphase flow prediction.

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📚 Academic: Thesis & PPT assistance included🧪 Tech: Master the protocols hands-on📝 Research > 3 months: Publication co-authorship in a Scopus-indexed journal

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