Name: Morten Hjorth-Jensen
Type: User
Company: Michigan State University and University of Oslo
Bio: I am a theoretical physicist with a strong interest in computational physics and many-body theory in general, and the nuclear many-body problem in particular.
Location: East Lansing and Oslo
Blog: http://mhjgit.github.io/info/doc/web/
Morten Hjorth-Jensen's Projects
Test files for compsci
Master program in Computational Science. The link for easy reading is
This repository contains material on bachelor, master and PhD programs on computational science and data science at the University of Oslo
Files for DoE application
This repository contains discussion material about the first year in Physics at UiO
The weblink to these pages are at the link
Repository of group 4 for the TALENT summer school exercises. Yazhou, Rui, Rodric
Using Gaussian processes for data unfolding in high-energy physics.
Exercises and projects for Machine Learning course
This repository contains all learning material for the Machine Learning course at FRIB@MSU
Files for Machine Learning and Artificial Intelligence in Nuclear Physics
This repository contains material pertinent to PHY321, Classical Mechanics at Michigan State University . Look up the jupyter-book at https://mhjensen.github.io/Physics321/doc/LectureNotes/_build/html/chapter1.html
For easier reading of the material use this link
Addition and removal energies of circular quantum dots
Thinking-Quantum-Machine-Learning code repository