Prof. Dr.-Ing. Helge Stein
Technical University of Munich
Associate Professorship of Digital Catalysis (Prof. Stein)
Postal address
Lichtenbergstr. 4
85748 Garching b. München
- Phone: +49 (89) 289 - 13620
- Room: 5403.05.310E
- Homepage
- helge.stein@tum.de
Research
We utilize digital tools like data management, machine learning, and robotics to catalyze battery and catalysis research acceleration. We don't just discover and optimize materials, components, and processes but try to investigate non-linear effects originating from a materials-in-systems perspective, such as batteries and chemical reactors. Research in our group is predominantly experimental, emphasizing (hardware and software) engineering in chemical engineering. We also research on accelerating the very way how research is executed and deploy Materials Acceleration Platforms. Currently, we investigate aqueous and solid-state batteries, oxidation, and hydrogenation catalysis, as well as data generation for foundational models in the natural sciences (see research overview).
Winter term 2024/25
Title | Dates | Duration | Type | Lecturer (assistant) |
---|---|---|---|---|
High-Throughput Methods and Practices (NAT0125) |
|
4 | VI | |
Machine Learning for Natural Sciences |
|
2 | PS | |
Programming and Data Science (CH0103) |
|
4 | UE | |
Revision Course to Machine Learning for Natural Sciences |
|
2 | RE |
P. Rinke [L]
|
Seminar and Current Topics in Digital Catalysis (NAT0126) |
|
2 | SE |
Summer term 2025
Title | Dates | Duration | Type | Lecturer (assistant) |
---|---|---|---|---|
High-Throughput Methods and Practices (NAT0125) |
|
4 | VI | |
Methods of Catalysis (CH3242a) |
|
2 | VO | |
Methods of Catalysis, Seminar (CH3242b) |
|
1 | SE | |
Seminar and Current Topics in Digital Catalysis (NAT0126) |
|
2 | SE | |
Theory and Practice on Data Management in Chemistry (NAT0127) |
|
2 | VI |