Machine learning of thermodynamic observables in lattice quantum field theory - Kim Nicoli - University of Hamburg
- Lecture2Go
- Catalog
- F.6 - Mathematik, Informatik, Naturwissenschaften
- MIN-Fakultät
- Machine Learning in Natural Sciences: From Quantum Physics to Nanoscience and Structural Biology 2022
Catalog
389 Views
20.09.2022
Machine learning of thermodynamic observables in lattice quantum field theory
Welcome to the video series of the international conference "Machine Learning in Natural Sciences: From Quantum Physics to Nanoscience and Structural Biology". The conference was hosted by the Cluster of Excellence "CUI: Advanced Imaging of Matter" and aims to bring different scientific communities that are exploring the new possibilities of machine learning together in order to connect and share experiences.
See more details here: https://www.conferences.uni-hamburg.de/e/ml22.cui
Share
This video may be embedded in other websites. You must copy the embeding code and paste it in the desired location in the HTML text of a Web page. Please always include the source and point it to lecture2go!
Technical support
Please click on the link bellow and then fill out the required fields to contact our Support Team!
RRZ Support Link