Weekly update

Hi all, I hope you had an excellent weekend. 
Last week we used the first hour to present the course content and possible projects. Thereafter we started with a discussion of variational Monte carlo methods and linked the 
discussion to project 1.
All the material can be found at https://github.com/CompPhysics/ComputationalPhysics2 and for better viewing of slides etc go to http://compphysics.github.io/ComputationalPhysics2/doc/web/course

The introductory slides to the course are at for example http://compphysics.github.io/ComputationalPhysics2/doc/pub/intro/html/intro-reveal.html
while the Variational Monte Carlo slides are at http://compphysics.github.io/ComputationalPhysics2/doc/pub/vmc/html/vmc-reveal.html

We had some problems with the recording of the lectures last week. The video at http://www.uio.no/studier/emner/matnat/fys/FYS4411/v18/index.html
does thus not contain all material. I will however repeat some of the basic Monte Carlo machinery this week and continue with discussions of Monte Carlo methods.
This week we will thus continue with our VMC discussion and discuss how to structure the code, how to set up the trial functions etc etc. Gradually we will bring forth all elements needed for solving project 1. 

Our first project is common for all. For the second project we have at least three paths
1) Extend the project to include fermions and study electrons confined to move in an oscillator potential (so-called quantum dots)
2) Coupled-cluster theory (requires fys-kjm4480). Oeyvind and Sebastian are interested in this
3) Solving project 1 using neural networks (Machine learning)
Please let me know which of these alternatives are the most interesting ones. If nobody is interested in say alternative 1), we may skip it and focus only on version 3.

Also, I use zoom (an excellent software) for teaching remotely. If you cannot attend the lecture physically, you can always attend via zoom. If this is of interest, send me an email asap and I will send an invitation to you before the lecture starts. The lectures will be recorded and hopefully this time the machine we used at the lab is more reliable.
Best wishes to you all,
Morten