A general and efficient framework for atomistic machine learning
Event details
Date | 30.04.2021 |
Hour | 16:00 |
Speaker | Félix Benedito Clément MUSIL |
Location |
Videoconference
|
Category | Thesis defenses |
Thesis Director: Prof. M. Ceriotti,
Materials Science and Engineering doctoral program
Thesis Nr. 7997
To take part in the public defense, please contact directly the speaker
Practical information
- General public
- Registration required
Contact
- Félix Benedito Clément MUSIL