Physics-informed Neural Networks for Biopharma Applications

Physics-informed Neural Networks for Biopharma Applications

Physics-Informed Neural Networks (PINNs) are hybrid models that incorporate differential equations into the training of neural networks, with the aim of bringing the best of both worlds. This project used a mathematical model describing a Continuous Stirred-Tank Reactor (CSTR), to test two possible...

Full description

Bibliographic Details
Main Author: Cedergren, Linnéa
Format: Others
Language:English
Published: Umeå universitet, Institutionen för fysik 2021
Subjects:
PINN
PINNs
physics-informed neural networks
neural networks
machine learning
sartorius
CSTR
Engineering and Technology
Teknik och teknologier
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-185423

Internet

http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-185423

Similar Items