Hybrid Modeling of the Reversed‐Phase Chromatographic Purification of an Oligonucleotide: Few‐Shot Learning From Differentiable Physics Solver‐in‐the‐Loop
Sign Up to like & getrecommendations! Published in 2025 at "Biotechnology and Bioengineering"
DOI: 10.1002/bit.29018
Abstract: Hybrid models integrate mechanistic and data‐driven components, effectively addressing the challenges of limited process understanding and data availability typical of biopharmaceutical processes. In this study, we applied a hybrid modeling framework named differentiable physics solver‐in‐the‐loop… read more here.
Keywords: differentiable physics; reversed phase; solver loop; hybrid modeling ... See more keywords
Solver-in-the-loop approach to closure of shell models of turbulence
Sign Up to like & getrecommendations! Published in 2024 at "Physical Review Fluids"
DOI: 10.1103/physrevfluids.10.044602
Abstract: This work studies an a posteriori data-driven approach (known as solver-in-the-loop) for sub-grid modeling of a shell model for turbulence. This approach takes advantage of the differentiable physics paradigm of deep learning, allowing a neural… read more here.
Keywords: shell; turbulence; solver loop; model ... See more keywords