Conference Presentation (After Call) FZJ-2024-00905

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png
Physics-Informed Neural Networks (PINNs) for Modeling Dynamic Processes Based on Limited Physical Knowledge and Data

 ;  ;

2023

2023 AIChE Annual Meeting, OrlandoOrlando, USA, 5 Nov 2023 - 10 Nov 20232023-11-052023-11-10


Note: https://aiche.confex.com/aiche/2023/meetingapp.cgi/Paper/667297

Contributing Institute(s):
  1. Modellierung von Energiesystemen (IEK-10)
Research Program(s):
  1. 1121 - Digitalization and Systems Technology for Flexibility Solutions (POF4-112) (POF4-112)
  2. DFG project 466656378 - Hybride Physik-Neuronales Netzwerk Softsensoren für den dynamischen Betrieb von Flüssig-flüssig-Trennprozessen (466656378) (466656378)

Appears in the scientific report 2023
Click to display QR Code for this record

The record appears in these collections:
Document types > Presentations > Conference Presentations
Institute Collections > ICE > ICE-1
Workflow collections > Public records
IEK > IEK-10
Publications database

 Record created 2024-01-24, last modified 2024-07-09



Rate this document:

Rate this document:
1
2
3
 
(Not yet reviewed)