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cs.LG2026
Accelerating nanodrug development in continuous flow systems using informed prediction models based on low-cost surrogate nanoparticles
Kai Dahms, Eilien Heinrich, Jochen Schmid +3
The development of nanotherapeutics often involves extensive empirical optimization due to the sensitivity of nanoparticle properties, such as size and polydispersity index (PDI),…
cs.LG2026
Deep Learning for Model Calibration in Simulation of Itaconic Acid Production
Daria Fokina, Marco Baldan, Constantin Romankiewicz +3
In this study, deep learning is used to estimate kinetic parameters for modeling itaconic acid production based on real batch experiments conducted at different agitation speeds an…