Process Engineering 4.0: Machine Learning and Physical Modelling
| Focus topic: | Artificial Intelligence |
|---|---|
| Type of funding: | Project funding programmes |
| Programme: | CZS Perspectives |
| Funded institution: |
|
The project is about bringing together machine learning and physical modelling. The two funded junior professors are looking at process engineering processes from basic material data to industrial processes.
Goals
Artificial intelligence, especially machine learning, is becoming increasingly important for industrial plants: plants are supposed to learn independently based on their own data. The physical knowledge about such plants already exists. What is missing, however, is the merging of both areas. Prof. Dr. Sophie Burkhardt and Prof. Dr. Fabian Jirasek are working on this topic. The two funded junior professors are cooperating closely to create Process Engineering 4.0. They are part of an interdisciplinary group with experienced researchers from engineering, computer science, mathematics and chemistry.
Involved persons:
Prof. Dr.-Ing. Hans Hasse
Rheinland-Pfälzische Technische Universität Kaiserslautern-Landau
Detailed information:
| Focus topic: | Artificial Intelligence |
|---|---|
| Programme: | CZS Perspectives |
| Type of funding: | Project funding programmes |
| Target group: | Professors |
|---|---|
| Funding budget: | 1.500.000 € |
| Period of time: | September 2020 - August 2025 |
Funded institution:
