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Hybrid Physics-Data Models for Scale-Up and Technology Transfer

Ai Bioprocess Optimization

Neural Network Surrogate Models for Bioprocesses

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Ai Bioprocess Optimization › Neural Network Surrogate Models for Bioprocesses

Hybrid Physics-Data Models for Scale-Up and Technology Transfer

This study integrates first-principles kinetic models with neural network correction terms to create hybrid surrogates that extrapolate reliably across bioreactor scales and geometries. The advancement addresses the critical challenge of bioprocess robustness during manufacturing scale-up and enables rational technology transfer protocols.

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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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