Learning Conductance: Gaussian Process Regression for Molecular Electronics : Machine Learning in Natural Sciences: From Quantum Physics to Nanoscience and Structural Biology 2022

Link:
  • https://lecture2go.uni-hamburg.de/l2go/-/get/v/63411
Autor/in:
Beteiligte Person:
  • Regionales Rechenzentrum der Universität Hamburg/ MCC/ Lecture2Go
Verlag/Körperschaft:
Universität Hamburg
Erscheinungsjahr:
2022
Medientyp:
Audiovisuell
Schlagworte:
  • machine learning
  • molecular electronics
  • cui
  • aim
  • MIN-Fakultät
Beschreibung:
  • 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
Beziehungen:
URL https://lecture2go.uni-hamburg.de/l2go/-/get/l/7162
Lizenz:
  • UHH-L2G
Quellsystem:
Lecture2Go UHH
Interne Metadaten
Quelldatensatz
oai:lecture2go.uni-hamburg.de:63411