4 citations · 4 across the 2 of their papers we have counts for
2 papers
cs.CE2025
Quantifying data needs in surrogate modeling for flow fields in two-dimensional stirred tanks with physics-informed neural networks
Veronika Trávníková, Eric von Lieres, Marek Behr
Stirred tanks are vital in chemical and biotechnological processes, particularly as bioreactors. Although computational fluid dynamics (CFD) is widely used to model the flow in sti…
cs.LG2022★ 4 cited
Machine learning in bioprocess development: From promise to practice
Laura Marie Helleckes, Johannes Hemmerich, Wolfgang Wiechert +2
Fostered by novel analytical techniques, digitalization and automation, modern bioprocess development provides high amounts of heterogeneous experimental data, containing valuable…