Thermoelectric materials can turn heat into electricity, but better materials are needed for large-scale recovery of waste heat.
Our project aims to identify materials with great promise using only computer experiments and machine learning.
-Predict new promising thermoelectric materials.
- Develop effective machine-learning schemes to estimate thermoelectric properties.
The project involves a collaboration between the Material Theory group and the data science group at NMBU and with Ole Martin Løvvik at SINTEF
We are looking for master students in physics or data science to take part in our research.
Ole Martin Løvvik: External collaborator at SINTEF / UiO. webpage
Click above to findspecific contact info.